{"id":"W2616165610","doi":"10.1177/1362480617707951","title":"Community Practitioners in Criminal Courts: Risk Logics and Multiply-Disadvantaged Individuals","year":2017,"lang":"en","type":"article","venue":"Theoretical Criminology","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Discretion; Disadvantaged; Criminal justice; Criminology; Context (archaeology); Sociology; Public relations; Political science; Law","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":[0.008354396,0.000251975,0.0003801631,0.002489286,0.01713097,0.008952281,0.001839805,0.004389772,0.006903956],"category_scores_gemma":[0.02108159,0.0004915611,0.0001927664,0.001611254,0.02638045,0.005566157,0.01366498,0.005012596,0.0004073853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007371155,"about_ca_system_score_gemma":0.01488426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02914742,"about_ca_topic_score_gemma":0.07281365,"domain_scores_codex":[0.9849004,0.01067946,0.0002801794,0.0008715228,0.001506292,0.001762324],"domain_scores_gemma":[0.981539,0.008593961,0.002374602,0.0005160368,0.001465202,0.005511297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002934768,0.0002311771,0.02248187,0.0001675815,0.00001308029,0.002147146,0.8548622,0.0001052606,0.0004686315,0.08086261,0.004011856,0.03461924],"study_design_scores_gemma":[0.00002300116,0.00009678237,0.009515355,0.0007124028,0.00001773203,0.00123746,0.9177813,0.0004211657,0.0001453334,0.02849926,0.04150724,0.00004303654],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621031,0.005176383,0.004785806,0.07076227,0.0002788346,0.0001305899,0.00001417664,0.00003364149,0.05671526],"genre_scores_gemma":[0.9919337,0.0009132557,0.0009635577,0.002766133,0.00004772098,0.00002995647,0.000004227692,0.00001254818,0.00332893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02914742,"threshold_uncertainty_score":0.0579555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0720937176818722,"score_gpt":0.3821887025883418,"score_spread":0.3100949849064696,"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."}}