{"id":"W4411877742","doi":"10.2139/ssrn.5088354","title":"Artificial Intelligence &amp;amp; Criminal Justice: Cases and Commentary Artificial Intelligence &amp;amp; Criminal Justice: Cases and Commenta","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Criminology; Criminal justice; Psychology; Economic Justice; 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":[0.01962339,0.0021517,0.003115959,0.005511576,0.02738537,0.01582859,0.01795054,0.2310161,0.01821397],"category_scores_gemma":[0.09818384,0.003196638,0.005178556,0.007180063,0.01498345,0.01144113,0.01049606,0.1037223,0.00890892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02147896,"about_ca_system_score_gemma":0.02793337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.145246,"about_ca_topic_score_gemma":0.2010064,"domain_scores_codex":[0.9723611,0.005050011,0.003088302,0.004340534,0.008985869,0.006174145],"domain_scores_gemma":[0.9019612,0.07728587,0.00320626,0.002140746,0.01177816,0.003627719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004949153,0.00002916722,0.0001493539,0.0001869076,0.00002909155,0.0009803885,0.001751944,0.00006720509,0.0002631002,0.03310687,0.961485,0.001901441],"study_design_scores_gemma":[0.0001323239,0.00003481767,0.00194273,0.001455834,0.0002094975,0.0006783754,0.004585208,0.0004271541,0.0007031253,0.02520164,0.964366,0.000263169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001349828,0.002766569,0.0001963923,0.9501713,0.01750986,0.00009289273,0.0003486336,0.0000441761,0.02752035],"genre_scores_gemma":[0.004672037,0.001242697,0.0001769751,0.9631273,0.01159433,0.0001380517,0.00006747337,0.00005087409,0.01893032],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2310161,"threshold_uncertainty_score":0.2888011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153010503298445,"score_gpt":0.4077180424797298,"score_spread":0.2924169921498853,"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."}}