{"id":"W3210919575","doi":"10.1111/jels.12336","title":"Stay at home if you can: <scp>COVID</scp>‐19 stay‐at‐home guidelines and local crime","year":2022,"lang":"en","type":"article","venue":"Journal of Empirical Legal Studies","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Government (linguistics); Demographic economics; Exploit; Pandemic; Coronavirus disease 2019 (COVID-19); Latin Americans; Work (physics); Business; Geography; Political science; Economics; Medicine; Computer security","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":[0.0006763461,0.00008805604,0.000213349,0.0004275228,0.001026218,0.001184594,0.0006124396,0.0003616904,0.0091021],"category_scores_gemma":[0.004551099,0.00009653428,0.00021875,0.0005181324,0.0007350564,0.0004957091,0.001461424,0.0006485528,0.0006712919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686182,"about_ca_system_score_gemma":0.001918835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1664064,"about_ca_topic_score_gemma":0.302869,"domain_scores_codex":[0.9993932,0.0002302286,0.00004340319,0.00005055605,0.000109703,0.0001729455],"domain_scores_gemma":[0.9953808,0.0004830211,0.001833657,0.0002564295,0.0007502475,0.001295928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006226067,0.0004932929,0.9626932,0.00006250464,0.00004550867,0.0001445468,0.002594138,0.0003482589,0.0002617203,0.0007941434,0.01059136,0.02190891],"study_design_scores_gemma":[0.000004713948,0.00007858199,0.9868346,0.0000580956,0.00001033597,0.00002981561,0.008048782,0.0001985988,0.0001167455,0.00009245129,0.004518833,0.000008592653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894187,0.0001480678,0.0001424752,0.00220701,0.00002398283,0.00002292542,0.0008484072,0.00001809669,0.007170428],"genre_scores_gemma":[0.9976699,0.00008977627,0.0001399578,0.0001384924,0.00001458164,0.00002343232,0.0003543051,0.000006391125,0.001563174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664064,"threshold_uncertainty_score":0.3308756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1831726732014202,"score_gpt":0.4493406635364326,"score_spread":0.2661679903350124,"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."}}