{"id":"W4317871116","doi":"10.1007/s10729-023-09629-4","title":"Generating simple classification rules to predict local surges in COVID-19 hospitalizations","year":2023,"lang":"en","type":"article","venue":"Health Care Management Science","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Centers for Disease Control and Prevention; Council of State and Territorial Epidemiologists; Yale University","keywords":"Coronavirus disease 2019 (COVID-19); Occupancy; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health informatics; Transmission (telecommunications); Computer science; Medicine; Statistics; Econometrics; Public health; Mathematics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001791118,0.001036396,0.0009885357,0.001507884,0.000428355,0.00106781,0.001424536,0.001104864,0.001631801],"category_scores_gemma":[0.007605931,0.0003493164,0.00105006,0.0006849082,0.0003185549,0.0007484487,0.0006222866,0.001045855,0.0005025815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001328,"about_ca_system_score_gemma":0.001575261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940763,"about_ca_topic_score_gemma":0.01632665,"domain_scores_codex":[0.9992595,0.000171178,0.0000784377,0.0002562286,0.0001278552,0.0001068151],"domain_scores_gemma":[0.993473,0.004641751,0.0005420299,0.0002697952,0.0008580528,0.0002153037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001661888,0.0002372212,0.03652653,0.0000542039,0.0000852295,0.000204874,0.00007197003,0.9007647,0.0006909125,0.000974708,0.002572491,0.05765096],"study_design_scores_gemma":[0.000009511575,0.00002406712,0.001110121,0.000007025017,0.000009302766,0.00001132096,0.0000146784,0.9975184,0.0002603685,0.000869916,0.0001607632,0.000004457467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5459183,0.0004209156,0.4379507,0.001357928,0.0001685146,0.0005883784,0.004349722,0.004278416,0.004967086],"genre_scores_gemma":[0.9139958,0.0001140586,0.08035974,0.0002089059,0.00004997805,0.000303161,0.003927443,0.00005047101,0.0009903297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01940763,"threshold_uncertainty_score":0.03858936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2254625697694191,"score_gpt":0.4750398240996516,"score_spread":0.2495772543302326,"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."}}