{"id":"W36457282","doi":"10.1080/09637486.2022.2152189","title":"Hidden intersections: research on race, crime, and criminal justice in Canada","year":2003,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Criminology; Victimisation; Disadvantage; Criminal justice; Economic Justice; Face (sociological concept); Sociology; Political science; Immigration; Identity (music); Gender studies; Law; Poison control; Social science; Suicide prevention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123147,0.0003145651,0.0005939068,0.003239015,0.01248422,0.002182879,0.001501716,0.0006565884,0.00712962],"category_scores_gemma":[0.00480325,0.0003047335,0.0004735344,0.007477218,0.001776052,0.001000864,0.001811615,0.001318907,0.0003294795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04910501,"about_ca_system_score_gemma":0.1015081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967802,"about_ca_topic_score_gemma":0.9989201,"domain_scores_codex":[0.9983151,0.0002799563,0.00005110909,0.0001468997,0.0006090376,0.00059788],"domain_scores_gemma":[0.9959828,0.0003313505,0.0004787984,0.00009322687,0.002013358,0.001100538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001642528,0.0003788885,0.8961393,0.0001600437,0.0000917156,0.0003255684,0.02311118,0.0002754912,0.0002675428,0.00572307,0.01229622,0.06106655],"study_design_scores_gemma":[0.00001185798,0.00006216067,0.9427887,0.0001710892,0.00004319126,0.00008739607,0.04235842,0.000269817,0.000164041,0.0003237301,0.01369483,0.00002473085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736208,0.002471754,0.0001875275,0.004459886,0.00009250163,0.0001045304,0.001963862,0.000008839265,0.0170903],"genre_scores_gemma":[0.9863058,0.002764048,0.0002914551,0.0004889139,0.00002329332,0.00007755162,0.0007608047,0.00001036233,0.009277762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04910501,"threshold_uncertainty_score":0.3562835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.456008178533124,"score_gpt":0.5173686839389157,"score_spread":0.06136050540579163,"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."}}