{"id":"W3204721381","doi":"10.3138/cpp.2021-022","title":"Estimating the Effects of Non-Pharmaceutical Interventions and Population Mobility on Daily COVID-19 Cases: Evidence from Ontario","year":2021,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Psychological intervention; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Pandemic; Population; Demography; Medicine; Econometrics; Psychology; Gerontology; Geography; Virology; Environmental health; Economics; Sociology; Internal medicine; Nursing; Infectious disease (medical specialty); Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.006485885,0.0005584674,0.0006444197,0.001137207,0.001177042,0.0009579559,0.00158271,0.0005680004,0.002058114],"category_scores_gemma":[0.03958624,0.0004174722,0.001485297,0.003081014,0.001245179,0.0005926371,0.001056404,0.0007902285,0.0002020031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01695406,"about_ca_system_score_gemma":0.02168868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986102,"about_ca_topic_score_gemma":0.9834478,"domain_scores_codex":[0.9945784,0.002479805,0.0003721764,0.000649991,0.001281272,0.0006383632],"domain_scores_gemma":[0.9629096,0.01824183,0.01115729,0.002254648,0.004163865,0.001272807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004735643,0.00008404336,0.9670197,0.0004975315,0.001300355,0.0001446798,0.001013495,0.004834828,0.00009571106,0.001255184,0.003476007,0.01980497],"study_design_scores_gemma":[0.0001008648,0.0001467374,0.9834388,0.0002714012,0.0009664294,0.00004264464,0.0009667922,0.005624009,0.0002239751,0.0004532225,0.007731078,0.0000340713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529542,0.01073361,0.00341485,0.004245102,0.00007684106,0.0001770228,0.01624164,0.00007546355,0.01208132],"genre_scores_gemma":[0.9894562,0.002812647,0.001009103,0.0002191723,0.00002941341,0.00005848127,0.004668839,0.00001444661,0.001731635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695406,"threshold_uncertainty_score":0.1230109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3580027915600676,"score_gpt":0.4946755039011921,"score_spread":0.1366727123411245,"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."}}