{"id":"W7034478412","doi":"","title":"Towards a crime reduction strategy in British Columbia","year":2007,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Criminal justice; Work (physics); Reduction (mathematics); Economic Justice; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006818687,0.0002657201,0.0002563833,0.00188785,0.009380898,0.003789929,0.001341847,0.001445017,0.006259661],"category_scores_gemma":[0.001673779,0.0002932392,0.0001604713,0.002555253,0.001760299,0.0008119464,0.002304926,0.001728326,0.0005289017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04727219,"about_ca_system_score_gemma":0.111752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9834585,"about_ca_topic_score_gemma":0.9931012,"domain_scores_codex":[0.9989429,0.0002527719,0.00003437903,0.00008724724,0.0002166992,0.0004659903],"domain_scores_gemma":[0.9990084,0.00008054186,0.00003856212,0.00001966987,0.0005140754,0.0003387085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002223686,0.0006809959,0.05480747,0.0009910057,0.00006918424,0.003073717,0.03264501,0.004308187,0.004844141,0.1029612,0.2491257,0.546271],"study_design_scores_gemma":[0.0001229203,0.0001968653,0.171628,0.001123782,0.00009803091,0.0006591607,0.08898012,0.003623137,0.002632182,0.01023194,0.720512,0.0001919202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5733792,0.008934642,0.002892623,0.1069023,0.0006094116,0.0004882421,0.0006572109,0.0003041848,0.3058322],"genre_scores_gemma":[0.8354323,0.005899761,0.007153006,0.01571613,0.00003746228,0.0002981086,0.0005361708,0.00007374505,0.1348533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04727219,"threshold_uncertainty_score":0.3429853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375513598902475,"score_gpt":0.2649866288964027,"score_spread":0.251231492907378,"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."}}