{"id":"W3041777142","doi":"10.21105/joss.02376","title":"COVID-19 Data Hub","year":2020,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"HEC Montréal; Institut de Valorisation des Données","keywords":"Coronavirus disease 2019 (COVID-19); Virology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Geography; Medicine; Outbreak; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01831913,0.001362647,0.002028431,0.01096583,0.002174986,0.006359519,0.004381421,0.002535009,0.1016757],"category_scores_gemma":[0.08985893,0.001441034,0.001998385,0.01200513,0.0009847516,0.005427015,0.007805479,0.004114982,0.05843884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002407543,"about_ca_system_score_gemma":0.009049506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009558342,"about_ca_topic_score_gemma":0.01105748,"domain_scores_codex":[0.9882652,0.00336851,0.002174785,0.00275074,0.002536185,0.0009046098],"domain_scores_gemma":[0.9432366,0.02033415,0.004811281,0.01639713,0.01082052,0.004400202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005670535,0.00009756802,0.007282643,0.0009622623,0.0001612172,0.0001191398,0.0002289088,0.001004733,0.0004385303,0.0121232,0.9641258,0.01288893],"study_design_scores_gemma":[0.0003990458,0.00007218751,0.007269165,0.0006357764,0.0001124241,0.0002062944,0.0002797068,0.003336284,0.001596159,0.01921788,0.9667628,0.0001121307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001659995,0.0001914353,0.009111572,0.001121698,0.0004454695,0.0005003487,0.969166,0.009300275,0.008503183],"genre_scores_gemma":[0.006539698,0.0001517652,0.015394,0.0007338177,0.0001492762,0.001140086,0.9697372,0.003657607,0.002496552],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1016757,"threshold_uncertainty_score":0.3401392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5836947777973046,"score_gpt":0.4994455056617404,"score_spread":0.08424927213556421,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}