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PMC:7033348 / 9219-9851 JSONTXT

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LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T48 229-231 http://purl.obolibrary.org/obo/CLO_0009718 denotes yt
T49 269-270 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T50 573-575 http://purl.obolibrary.org/obo/CLO_0009718 denotes yt

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T7 31-39 Chemical denotes solution http://purl.obolibrary.org/obo/CHEBI_75958
T8 502-510 Chemical denotes solution http://purl.obolibrary.org/obo/CHEBI_75958

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T56 0-99 Sentence denotes We estimate the best-fit model solution to the reported data using nonlinear least squares fitting.
T57 100-482 Sentence denotes This process yields the set of model parameters Θ that minimizes the sum of squared errors between the model f(t,Θ) and the data yt; where ΘGLM = (r, p, K), ΘRich = (r, a, K), and ΘSub = (r, p, K 0 , q, C thr) correspond to the estimated parameter sets for the GLM, the Richards model, and the sub-epidemic model, respectively; parameter descriptions are provided in the Supplement.
T58 483-578 Sentence denotes Thus, the best-fit solution f(t,Θˆ) is defined by the parameter set Θˆ=argmin∑t=1n(f(t,Θ)−yt)2.
T59 579-632 Sentence denotes We fix the initial condition to the first data point.