{"id":"W4408285889","doi":"10.3138/cjccj-2024-0036","title":"Collateral Consequences, Disadvantage, and Criminal Defence Work","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université de Montréal","funders":"","keywords":"Collateral; Disadvantage; Work (physics); Criminology; Collateral damage; Political science; Psychology; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00433078,0.000204497,0.0004580225,0.002150888,0.02189363,0.006645371,0.001360602,0.001122017,0.006364225],"category_scores_gemma":[0.01525568,0.0002507267,0.0001740673,0.001609932,0.01885019,0.00249913,0.009091642,0.001902147,0.0001823591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01753035,"about_ca_system_score_gemma":0.02249475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3824145,"about_ca_topic_score_gemma":0.6049145,"domain_scores_codex":[0.9918491,0.002960697,0.0002234791,0.0004427469,0.002424998,0.002099024],"domain_scores_gemma":[0.9915525,0.002983082,0.001683831,0.000492938,0.001015257,0.002272337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004806915,0.0001132257,0.09757145,0.00009206538,0.00001845647,0.001997602,0.8058933,0.0002329642,0.0004954324,0.05507554,0.00212212,0.03633985],"study_design_scores_gemma":[0.00001260245,0.00007116272,0.1508085,0.0004104014,0.00002169635,0.0014636,0.7976258,0.0004630159,0.0001913543,0.01791544,0.03095318,0.0000633696],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582807,0.0004692154,0.000585957,0.004346994,0.00001726881,0.00002910219,0.0000280053,0.000006663956,0.03623609],"genre_scores_gemma":[0.9984846,0.0000920779,0.000105158,0.00008043333,0.000002718249,0.000004741226,0.000006080341,0.000001895797,0.001222349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3824145,"threshold_uncertainty_score":0.7603772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07418854332011501,"score_gpt":0.3349964126638005,"score_spread":0.2608078693436855,"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."}}