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    LitCovid-PD-FMA-UBERON

    {"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T38","span":{"begin":2782,"end":2790},"obj":"Body_part"}],"attributes":[{"id":"A38","pred":"fma_id","subj":"T38","obj":"http://purl.org/sig/ont/fma/fma14542"}],"text":"Table 3 Correlation matrix.\nPanel A: Correlation Variables CAR [ −1, 1] to R\u0026D\n1 2 3 4 5 6 7 8\n1 CAR [−1, 1] 0.761 0.000 −0.010 0.022 −0.016 −0.017 −0.007\n2 CAR [−2, 2] 0.792 0.001 −0.006 0.024 −0.019 −0.021 −0.008\n3 CIPHT −0.008 −0.009 0.267 0.002 0.011 0.012 0.017\n4 PRO_CASE 0.010 0.013 0.107 0.008 0.025 0.032 0.022\n5 SIZE 0.004 0.005 0.006 −0.008 −0.323 −0.440 0.174\n6 ROA −0.002 −0.003 −0.001 0.003 0.065 0.398 −0.117\n7 CURR −0.011 −0.015 −0.001 −0.005 −0.271 0.025 −0.063\n8 R\u0026D 0.006 0.007 −0.007 −0.003 0.014 0.003 −0.006\n9 LOSS −0.001 −0.002 −0.008 0.012 −0.065 −0.144 −0.009 −0.004\n10 LEV 0.004 0.005 −0.004 −0.003 0.103 −0.275 −0.208 0.000\n11 OPCF −0.012 −0.016 0.001 −0.031 −0.090 0.075 0.066 −0.006\n12 TURN 0.000 0.000 0.001 −0.015 −0.182 −0.046 −0.014 −0.010\n13 CEO_AGE 0.002 0.003 −0.012 −0.019 0.107 0.025 −0.003 0.013\n14 CEO_COM 0.001 0.001 0.007 0.007 0.024 0.000 −0.013 0.000\n15 CEO_TEN 0.006 0.008 0.009 −0.004 0.062 −0.016 −0.015 −0.015\n16 CEO_DUA −0.005 −0.006 0.005 −0.038 0.030 0.035 0.024 −0.007\nPanel B: Correlation Variables LOSS to CEO_DUA\n9 10 12 11 13 14 15 16\n1 CAR [−1, 1] −0.005 0.019 −0.017 −0.009 0.008 −0.002 0.007 −0.006\n2 CAR [−2, 2] −0.006 0.024 −0.023 −0.011 0.009 0.001 0.009 −0.007\n3 CIPHT −0.008 0.000 0.001 0.001 −0.009 0.016 0.009 0.006\n4 PRO_CASE −0.006 −0.014 0.021 0.004 −0.009 0.013 0.009 0.023\n5 SIZE −0.052 0.465 −0.159 −0.325 0.089 −0.274 0.042 0.002\n6 ROA −0.460 −0.426 0.338 0.482 0.056 −0.125 0.021 0.081\n7 CURR −0.065 −0.815 0.183 0.113 0.036 0.077 0.047 0.040\n8 R\u0026D 0.003 0.056 −0.109 −0.165 0.060 0.018 0.083 0.022\n9 LOSS 0.071 −0.069 −0.038 −0.066 −0.460 −0.057 −0.047\n10 LEV 0.080 −0.285 −0.126 −0.045 −0.059 −0.063 −0.045\n11 OPCF −0.022 −0.132 0.206 0.026 −0.077 −0.014 0.042\n12 TURN 0.024 0.116 0.142 −0.006 −0.175 −0.046 0.032\n13 CEO_AGE −0.065 −0.066 −0.012 −0.046 0.004 0.269 0.066\n14 CEO_COM −0.038 0.009 −0.010 −0.018 0.007 0.075 −0.002\n15 CEO_TEN −0.049 −0.037 −0.048 −0.062 0.283 −0.003 0.116\n16 CEO_DUA −0.043 −0.026 0.008 −0.015 0.067 0.012 0.101\nNote: Correlations are based on 178,805 firm-day observations. Pearson (Spearman) correlations in the lower (upper) diagonal. Correlation coefficients in bold are statistically significant at the 0.10 level or better. See Appendix A for definitions and measurements of the variables."}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T342","span":{"begin":35,"end":36},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T343","span":{"begin":60,"end":68},"obj":"http://purl.obolibrary.org/obo/CLO_0009955"},{"id":"T344","span":{"begin":76,"end":79},"obj":"http://purl.obolibrary.org/obo/CLO_0008693"},{"id":"T345","span":{"begin":76,"end":79},"obj":"http://purl.obolibrary.org/obo/CLO_0008770"},{"id":"T346","span":{"begin":88,"end":93},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T347","span":{"begin":113,"end":120},"obj":"http://purl.obolibrary.org/obo/CLO_0009955"},{"id":"T348","span":{"begin":188,"end":191},"obj":"http://purl.obolibrary.org/obo/CLO_0002199"},{"id":"T349","span":{"begin":194,"end":198},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T350","span":{"begin":606,"end":609},"obj":"http://purl.obolibrary.org/obo/CLO_0008693"},{"id":"T351","span":{"begin":606,"end":609},"obj":"http://purl.obolibrary.org/obo/CLO_0008770"},{"id":"T352","span":{"begin":817,"end":819},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T353","span":{"begin":1289,"end":1290},"obj":"http://purl.obolibrary.org/obo/CLO_0001021"},{"id":"T354","span":{"begin":1344,"end":1346},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T355","span":{"begin":1370,"end":1377},"obj":"http://purl.obolibrary.org/obo/CLO_0009955"},{"id":"T356","span":{"begin":1453,"end":1456},"obj":"http://purl.obolibrary.org/obo/CLO_0002199"},{"id":"T357","span":{"begin":1459,"end":1463},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T358","span":{"begin":1914,"end":1917},"obj":"http://purl.obolibrary.org/obo/CLO_0008693"},{"id":"T359","span":{"begin":1914,"end":1917},"obj":"http://purl.obolibrary.org/obo/CLO_0008770"},{"id":"T360","span":{"begin":2127,"end":2129},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T361","span":{"begin":2791,"end":2792},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Table 3 Correlation matrix.\nPanel A: Correlation Variables CAR [ −1, 1] to R\u0026D\n1 2 3 4 5 6 7 8\n1 CAR [−1, 1] 0.761 0.000 −0.010 0.022 −0.016 −0.017 −0.007\n2 CAR [−2, 2] 0.792 0.001 −0.006 0.024 −0.019 −0.021 −0.008\n3 CIPHT −0.008 −0.009 0.267 0.002 0.011 0.012 0.017\n4 PRO_CASE 0.010 0.013 0.107 0.008 0.025 0.032 0.022\n5 SIZE 0.004 0.005 0.006 −0.008 −0.323 −0.440 0.174\n6 ROA −0.002 −0.003 −0.001 0.003 0.065 0.398 −0.117\n7 CURR −0.011 −0.015 −0.001 −0.005 −0.271 0.025 −0.063\n8 R\u0026D 0.006 0.007 −0.007 −0.003 0.014 0.003 −0.006\n9 LOSS −0.001 −0.002 −0.008 0.012 −0.065 −0.144 −0.009 −0.004\n10 LEV 0.004 0.005 −0.004 −0.003 0.103 −0.275 −0.208 0.000\n11 OPCF −0.012 −0.016 0.001 −0.031 −0.090 0.075 0.066 −0.006\n12 TURN 0.000 0.000 0.001 −0.015 −0.182 −0.046 −0.014 −0.010\n13 CEO_AGE 0.002 0.003 −0.012 −0.019 0.107 0.025 −0.003 0.013\n14 CEO_COM 0.001 0.001 0.007 0.007 0.024 0.000 −0.013 0.000\n15 CEO_TEN 0.006 0.008 0.009 −0.004 0.062 −0.016 −0.015 −0.015\n16 CEO_DUA −0.005 −0.006 0.005 −0.038 0.030 0.035 0.024 −0.007\nPanel B: Correlation Variables LOSS to CEO_DUA\n9 10 12 11 13 14 15 16\n1 CAR [−1, 1] −0.005 0.019 −0.017 −0.009 0.008 −0.002 0.007 −0.006\n2 CAR [−2, 2] −0.006 0.024 −0.023 −0.011 0.009 0.001 0.009 −0.007\n3 CIPHT −0.008 0.000 0.001 0.001 −0.009 0.016 0.009 0.006\n4 PRO_CASE −0.006 −0.014 0.021 0.004 −0.009 0.013 0.009 0.023\n5 SIZE −0.052 0.465 −0.159 −0.325 0.089 −0.274 0.042 0.002\n6 ROA −0.460 −0.426 0.338 0.482 0.056 −0.125 0.021 0.081\n7 CURR −0.065 −0.815 0.183 0.113 0.036 0.077 0.047 0.040\n8 R\u0026D 0.003 0.056 −0.109 −0.165 0.060 0.018 0.083 0.022\n9 LOSS 0.071 −0.069 −0.038 −0.066 −0.460 −0.057 −0.047\n10 LEV 0.080 −0.285 −0.126 −0.045 −0.059 −0.063 −0.045\n11 OPCF −0.022 −0.132 0.206 0.026 −0.077 −0.014 0.042\n12 TURN 0.024 0.116 0.142 −0.006 −0.175 −0.046 0.032\n13 CEO_AGE −0.065 −0.066 −0.012 −0.046 0.004 0.269 0.066\n14 CEO_COM −0.038 0.009 −0.010 −0.018 0.007 0.075 −0.002\n15 CEO_TEN −0.049 −0.037 −0.048 −0.062 0.283 −0.003 0.116\n16 CEO_DUA −0.043 −0.026 0.008 −0.015 0.067 0.012 0.101\nNote: Correlations are based on 178,805 firm-day observations. Pearson (Spearman) correlations in the lower (upper) diagonal. Correlation coefficients in bold are statistically significant at the 0.10 level or better. See Appendix A for definitions and measurements of the variables."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T566","span":{"begin":0,"end":28},"obj":"Sentence"},{"id":"T567","span":{"begin":29,"end":37},"obj":"Sentence"},{"id":"T568","span":{"begin":38,"end":79},"obj":"Sentence"},{"id":"T569","span":{"begin":80,"end":109},"obj":"Sentence"},{"id":"T570","span":{"begin":110,"end":184},"obj":"Sentence"},{"id":"T571","span":{"begin":185,"end":259},"obj":"Sentence"},{"id":"T572","span":{"begin":260,"end":327},"obj":"Sentence"},{"id":"T573","span":{"begin":328,"end":397},"obj":"Sentence"},{"id":"T574","span":{"begin":398,"end":465},"obj":"Sentence"},{"id":"T575","span":{"begin":466,"end":530},"obj":"Sentence"},{"id":"T576","span":{"begin":531,"end":601},"obj":"Sentence"},{"id":"T577","span":{"begin":602,"end":666},"obj":"Sentence"},{"id":"T578","span":{"begin":667,"end":743},"obj":"Sentence"},{"id":"T579","span":{"begin":744,"end":816},"obj":"Sentence"},{"id":"T580","span":{"begin":817,"end":894},"obj":"Sentence"},{"id":"T581","span":{"begin":895,"end":970},"obj":"Sentence"},{"id":"T582","span":{"begin":971,"end":1047},"obj":"Sentence"},{"id":"T583","span":{"begin":1048,"end":1121},"obj":"Sentence"},{"id":"T584","span":{"begin":1122,"end":1201},"obj":"Sentence"},{"id":"T585","span":{"begin":1202,"end":1282},"obj":"Sentence"},{"id":"T586","span":{"begin":1283,"end":1291},"obj":"Sentence"},{"id":"T587","span":{"begin":1292,"end":1329},"obj":"Sentence"},{"id":"T588","span":{"begin":1330,"end":1366},"obj":"Sentence"},{"id":"T589","span":{"begin":1367,"end":1449},"obj":"Sentence"},{"id":"T590","span":{"begin":1450,"end":1531},"obj":"Sentence"},{"id":"T591","span":{"begin":1532,"end":1604},"obj":"Sentence"},{"id":"T592","span":{"begin":1605,"end":1683},"obj":"Sentence"},{"id":"T593","span":{"begin":1684,"end":1759},"obj":"Sentence"},{"id":"T594","span":{"begin":1760,"end":1834},"obj":"Sentence"},{"id":"T595","span":{"begin":1835,"end":1909},"obj":"Sentence"},{"id":"T596","span":{"begin":1910,"end":1982},"obj":"Sentence"},{"id":"T597","span":{"begin":1983,"end":2054},"obj":"Sentence"},{"id":"T598","span":{"begin":2055,"end":2126},"obj":"Sentence"},{"id":"T599","span":{"begin":2127,"end":2197},"obj":"Sentence"},{"id":"T600","span":{"begin":2198,"end":2267},"obj":"Sentence"},{"id":"T601","span":{"begin":2268,"end":2340},"obj":"Sentence"},{"id":"T602","span":{"begin":2341,"end":2413},"obj":"Sentence"},{"id":"T603","span":{"begin":2414,"end":2487},"obj":"Sentence"},{"id":"T604","span":{"begin":2488,"end":2559},"obj":"Sentence"},{"id":"T605","span":{"begin":2560,"end":2565},"obj":"Sentence"},{"id":"T606","span":{"begin":2566,"end":2622},"obj":"Sentence"},{"id":"T607","span":{"begin":2623,"end":2685},"obj":"Sentence"},{"id":"T608","span":{"begin":2686,"end":2777},"obj":"Sentence"},{"id":"T609","span":{"begin":2778,"end":2843},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 3 Correlation matrix.\nPanel A: Correlation Variables CAR [ −1, 1] to R\u0026D\n1 2 3 4 5 6 7 8\n1 CAR [−1, 1] 0.761 0.000 −0.010 0.022 −0.016 −0.017 −0.007\n2 CAR [−2, 2] 0.792 0.001 −0.006 0.024 −0.019 −0.021 −0.008\n3 CIPHT −0.008 −0.009 0.267 0.002 0.011 0.012 0.017\n4 PRO_CASE 0.010 0.013 0.107 0.008 0.025 0.032 0.022\n5 SIZE 0.004 0.005 0.006 −0.008 −0.323 −0.440 0.174\n6 ROA −0.002 −0.003 −0.001 0.003 0.065 0.398 −0.117\n7 CURR −0.011 −0.015 −0.001 −0.005 −0.271 0.025 −0.063\n8 R\u0026D 0.006 0.007 −0.007 −0.003 0.014 0.003 −0.006\n9 LOSS −0.001 −0.002 −0.008 0.012 −0.065 −0.144 −0.009 −0.004\n10 LEV 0.004 0.005 −0.004 −0.003 0.103 −0.275 −0.208 0.000\n11 OPCF −0.012 −0.016 0.001 −0.031 −0.090 0.075 0.066 −0.006\n12 TURN 0.000 0.000 0.001 −0.015 −0.182 −0.046 −0.014 −0.010\n13 CEO_AGE 0.002 0.003 −0.012 −0.019 0.107 0.025 −0.003 0.013\n14 CEO_COM 0.001 0.001 0.007 0.007 0.024 0.000 −0.013 0.000\n15 CEO_TEN 0.006 0.008 0.009 −0.004 0.062 −0.016 −0.015 −0.015\n16 CEO_DUA −0.005 −0.006 0.005 −0.038 0.030 0.035 0.024 −0.007\nPanel B: Correlation Variables LOSS to CEO_DUA\n9 10 12 11 13 14 15 16\n1 CAR [−1, 1] −0.005 0.019 −0.017 −0.009 0.008 −0.002 0.007 −0.006\n2 CAR [−2, 2] −0.006 0.024 −0.023 −0.011 0.009 0.001 0.009 −0.007\n3 CIPHT −0.008 0.000 0.001 0.001 −0.009 0.016 0.009 0.006\n4 PRO_CASE −0.006 −0.014 0.021 0.004 −0.009 0.013 0.009 0.023\n5 SIZE −0.052 0.465 −0.159 −0.325 0.089 −0.274 0.042 0.002\n6 ROA −0.460 −0.426 0.338 0.482 0.056 −0.125 0.021 0.081\n7 CURR −0.065 −0.815 0.183 0.113 0.036 0.077 0.047 0.040\n8 R\u0026D 0.003 0.056 −0.109 −0.165 0.060 0.018 0.083 0.022\n9 LOSS 0.071 −0.069 −0.038 −0.066 −0.460 −0.057 −0.047\n10 LEV 0.080 −0.285 −0.126 −0.045 −0.059 −0.063 −0.045\n11 OPCF −0.022 −0.132 0.206 0.026 −0.077 −0.014 0.042\n12 TURN 0.024 0.116 0.142 −0.006 −0.175 −0.046 0.032\n13 CEO_AGE −0.065 −0.066 −0.012 −0.046 0.004 0.269 0.066\n14 CEO_COM −0.038 0.009 −0.010 −0.018 0.007 0.075 −0.002\n15 CEO_TEN −0.049 −0.037 −0.048 −0.062 0.283 −0.003 0.116\n16 CEO_DUA −0.043 −0.026 0.008 −0.015 0.067 0.012 0.101\nNote: Correlations are based on 178,805 firm-day observations. Pearson (Spearman) correlations in the lower (upper) diagonal. Correlation coefficients in bold are statistically significant at the 0.10 level or better. See Appendix A for definitions and measurements of the variables."}