{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006189818,0.00006226373,0.0002622724,0.0006255059,0.0001371224,0.00003315093,0.0002834406,0.00005262404,0.0003068928],"category_scores_gemma":[0.002160699,0.00005802831,0.00003948237,0.0004474276,0.000133682,0.0003196434,0.0001606811,0.0005902334,0.000001630035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001847775,"about_ca_system_score_gemma":0.001336054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03096204,"about_ca_topic_score_gemma":0.00230901,"domain_scores_codex":[0.9971926,0.000831544,0.0007261708,0.0001440032,0.000853399,0.0002522512],"domain_scores_gemma":[0.998298,0.0005298381,0.0002034765,0.0001166667,0.0005308405,0.0003211037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002607888,0.0004636045,0.8997106,0.00007909243,0.00003636935,0.00001331651,0.08381549,0.00008173459,0.00746638,0.0007493815,0.004660007,0.00266326],"study_design_scores_gemma":[0.001372092,0.0006820728,0.726592,0.0004637732,0.000009846485,0.00000231864,0.2620418,0.00009874158,0.0003882485,0.005208251,0.00299337,0.0001475184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940541,0.0009588971,0.00001509674,0.002871281,0.0001716937,0.0001983092,0.00003203498,0.000001959158,0.001696667],"genre_scores_gemma":[0.9984657,0.0005500207,0.000457575,0.00009981844,0.000292727,0.000008072117,9.473827e-7,0.000004861581,0.0001202606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1782263,"threshold_uncertainty_score":0.9754909,"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."}}