{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00167958,0.0002281895,0.0006039549,0.0001855319,0.002292491,0.0001226849,0.0004089831,0.00006900549,0.0008765089],"category_scores_gemma":[0.00139106,0.0001829006,0.0003870388,0.0003328037,0.0006357114,0.0002716893,0.0009301976,0.0004770063,0.00001760742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398638,"about_ca_system_score_gemma":0.0002647226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002167704,"about_ca_topic_score_gemma":0.003345136,"domain_scores_codex":[0.9966093,0.0004447599,0.0009730734,0.000296911,0.001149739,0.000526183],"domain_scores_gemma":[0.9976956,0.0006117891,0.0004944062,0.0001518239,0.0006197977,0.0004266008],"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":[0.00006763657,0.0002652547,0.1693121,0.00004430176,0.0005070868,0.0002584954,0.02221163,0.0001440021,0.00007435303,0.0006825943,0.8049726,0.001459947],"study_design_scores_gemma":[0.000651464,0.0006991864,0.02304155,0.00003033852,0.0001290922,0.00009584524,0.05566852,0.00002381985,0.00001734902,0.001070423,0.9184421,0.0001303513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605867,0.01696459,0.0002021753,0.01776265,0.001497229,0.0001590787,0.0001388534,0.00003507716,0.002653666],"genre_scores_gemma":[0.9707751,0.001509968,0.0001893573,0.002537603,0.0009352203,0.00001547644,0.000003461991,0.0000229178,0.02401096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1462705,"threshold_uncertainty_score":0.9990064,"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."}}