{"id":"W4413569585","doi":"10.64628/aap.9xns3wvah","title":"Policing religious gathering limits during the coronavirus pandemic requires sensitivity","year":2021,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Pandemic; Coronavirus; Coronavirus disease 2019 (COVID-19); Sensitivity (control systems); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Political science; Virology; Computer security; Geography; Computer science; Medicine; Engineering; Outbreak; Infectious disease (medical specialty)","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":[0.004936973,0.0005687786,0.001634585,0.0008926424,0.0008965009,0.00493688,0.001043228,0.004325331,0.01339657],"category_scores_gemma":[0.03800971,0.0007321094,0.0007413925,0.0008700577,0.002120792,0.005128194,0.001862625,0.005909013,0.0005462905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003130357,"about_ca_system_score_gemma":0.002048941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924229,"about_ca_topic_score_gemma":0.01306657,"domain_scores_codex":[0.998326,0.000731505,0.00007661338,0.0002517851,0.0001480007,0.0004660188],"domain_scores_gemma":[0.9712344,0.02181394,0.004467627,0.0009167984,0.0008411049,0.0007260371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005114545,0.0003862831,0.04368752,0.0004353572,0.0003479422,0.000825325,0.000729107,0.38814,0.0008250133,0.4987873,0.0269252,0.03839947],"study_design_scores_gemma":[0.00009193678,0.0001574901,0.02170264,0.0001986781,0.0001173976,0.0001488625,0.001995028,0.2407908,0.0003720061,0.7254927,0.008838186,0.00009433949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.620834,0.004284888,0.1466468,0.09763526,0.0009389625,0.0003019535,0.003340304,0.0002798697,0.1257379],"genre_scores_gemma":[0.9906724,0.000751812,0.001367736,0.001120385,0.0002061621,0.00003744418,0.0001358154,0.00002216279,0.005686029],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01924229,"threshold_uncertainty_score":0.04481596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08818830543784575,"score_gpt":0.2959351966647676,"score_spread":0.2077468912269219,"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."}}