{"id":"W4229449587","doi":"10.1177/00224278221096985","title":"From School Halls to Shopping Malls: Multilevel Predictors of Police Contact In and Out of School","year":2022,"lang":"en","type":"article","venue":"Journal of Research in Crime and Delinquency","topic":"Education Discipline and Inequality","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of Justice","keywords":"Sanctions; Psychology; Multilevel model; Multinomial logistic regression; Consistency (knowledge bases); Demographics; Social psychology; Demography; Sociology; Political science","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":[0.0006686199,0.0002646082,0.0003574789,0.001394164,0.001358735,0.0016323,0.0007600848,0.0006068758,0.008054468],"category_scores_gemma":[0.004682698,0.0003912896,0.0004908043,0.001683696,0.0005172419,0.0009026594,0.002044526,0.001239488,0.000499723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007088305,"about_ca_system_score_gemma":0.001049151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0527946,"about_ca_topic_score_gemma":0.08974405,"domain_scores_codex":[0.998912,0.0002584729,0.0001033824,0.0002272172,0.0001785157,0.0003204524],"domain_scores_gemma":[0.9941602,0.0008474482,0.002906689,0.000311895,0.0004201555,0.001353743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001416761,0.00003627158,0.9988245,0.000004605028,0.00001861662,0.00002272405,0.0002056299,0.00002109616,0.0000255894,0.00001651803,0.00008110223,0.0007292139],"study_design_scores_gemma":[0.000001302058,0.00002601966,0.9983693,0.00001530506,0.00001287308,0.00003930092,0.001196382,0.0001752094,0.00002287499,0.00001931945,0.0001199419,0.000002289868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991841,0.00006572322,0.00008593942,0.00008463159,0.000003035017,0.000006645385,0.0002140096,0.000005588754,0.0003504678],"genre_scores_gemma":[0.9994543,0.00003700842,0.00006740122,0.00001077245,0.000003458759,0.000004605005,0.0002189415,0.000002911379,0.0002006019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0527946,"threshold_uncertainty_score":0.1049746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.27635858660536,"score_gpt":0.5259048537757137,"score_spread":0.2495462671703537,"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."}}