{"id":"W3080864197","doi":"10.1038/s41597-020-00610-2","title":"HIT-COVID, a global database tracking public health interventions to COVID-19","year":2020,"lang":"en","type":"article","venue":"Scientific Data","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"National Institute of General Medical Sciences; Johnson and Johnson Foundation; Johns Hopkins University","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Public health; Tracking (education); Global health; Geography; Data science; Computer science; Virology; Biology; Medicine; Outbreak; Infectious disease (medical specialty); Psychology; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008811601,0.0002598389,0.0005871908,0.0001051083,0.001063943,0.0005737889,0.003160751,0.0000574359,0.0008363055],"category_scores_gemma":[0.1295927,0.0002208982,0.0001702195,0.00192631,0.0003655488,0.0006155177,0.00605081,0.0002339574,0.0006210951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006120004,"about_ca_system_score_gemma":0.0009717518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004537755,"about_ca_topic_score_gemma":0.003033533,"domain_scores_codex":[0.9951257,0.0005616779,0.0009595733,0.001847735,0.0006533059,0.0008520049],"domain_scores_gemma":[0.9930891,0.001434216,0.0003472898,0.002953244,0.0001188688,0.002057309],"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":[0.00001400495,0.0002260589,0.001776247,0.001042466,0.000041183,0.00001762427,0.0008184502,0.00001113892,0.0000283619,0.02003852,0.9699677,0.006018205],"study_design_scores_gemma":[0.0004321888,0.00009706928,0.0006225851,0.0001077066,0.00003869834,0.000006545307,0.0008224284,0.001076867,0.000002919069,0.01876528,0.9777167,0.0003110411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002453603,0.000628278,0.5601788,0.3963335,0.001042557,0.001146302,0.03729148,0.0006479584,0.0002775282],"genre_scores_gemma":[0.5213219,0.00009799656,0.1950481,0.2576416,0.00103715,0.0002659544,0.02295937,0.0001107879,0.001517194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5188683,"threshold_uncertainty_score":0.9156959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8307176163106647,"score_gpt":0.5738583493022208,"score_spread":0.2568592670084439,"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."}}