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PubMed:32247326 / 995-1108 JSONTXT

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LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T9 0-113 Sentence denotes We used a Bayesian approach to estimate the dynamics of the net reproduction number (Rt) at the provincial level.

LitCovid-OGER-BB

Id Subject Object Predicate Lexical cue
T7 64-76 GO:0000003 denotes reproduction

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok177 0-2 PRP denotes We
tok178 3-7 VBD denotes used
tok179 8-9 DT denotes a
tok180 10-18 NNP denotes Bayesian
tok181 19-27 NN denotes approach
tok182 28-30 TO denotes to
tok183 31-39 VB denotes estimate
tok184 40-43 DT denotes the
tok185 44-52 NNS denotes dynamics
tok186 53-55 IN denotes of
tok187 56-59 DT denotes the
tok188 60-63 JJ denotes net
tok189 64-76 NN denotes reproduction
tok190 77-83 NN denotes number
tok191 84-85 ( denotes (
tok192 85-87 NNP denotes Rt
tok193 87-88 ) denotes )
tok194 89-91 IN denotes at
tok195 92-95 DT denotes the
tok196 96-106 JJ denotes provincial
tok197 107-112 NN denotes level
tok198 112-113 . denotes .
lookup43 0-2 stop denotes We
lookup44 28-30 country_code denotes to
lookup45 60-63 country_code denotes net
lookup46 89-91 country_code denotes at
event22 3-7 OCCURRENCE denotes used
event27 31-39 OCCURRENCE denotes estimate