{"id":"W7055527337","doi":"","title":"Contacts, opportunities, and crime : relational foundations of criminal enterprise","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Criminal justice; Action (physics); Work (physics); Legislation; Punishment (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001486056,0.0003195708,0.0004265298,0.002510549,0.01312439,0.01906468,0.001419393,0.003040644,0.02944429],"category_scores_gemma":[0.01035298,0.000340107,0.0001810785,0.005237415,0.02316622,0.007025454,0.004082622,0.003370069,0.001384786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02222781,"about_ca_system_score_gemma":0.02951467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5722066,"about_ca_topic_score_gemma":0.732354,"domain_scores_codex":[0.998597,0.0004686332,0.00003265739,0.0001213198,0.0003814643,0.0003990469],"domain_scores_gemma":[0.9909773,0.003890784,0.0008448808,0.0004225788,0.001401978,0.002462378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003746264,0.0001911642,0.01898239,0.0000500085,0.00001563389,0.0003862486,0.0399479,0.0007098365,0.00006355433,0.8685127,0.03561614,0.03548693],"study_design_scores_gemma":[0.00002202586,0.00001737237,0.04540149,0.0003044569,0.0000270277,0.0002919576,0.1451863,0.001270184,0.00007938098,0.6765732,0.1307841,0.00004252071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1081075,0.003738153,0.001991265,0.06549793,0.00009281658,0.00006572009,0.0005549395,0.00004455121,0.8199071],"genre_scores_gemma":[0.9510792,0.003422299,0.0005292277,0.001271469,0.00006549406,0.00005021225,0.0001354295,0.00003657066,0.04341006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5722066,"threshold_uncertainty_score":0.8606256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049204393393888,"score_gpt":0.1809350819660905,"score_spread":0.1704430380321517,"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."}}