{"id":"W3095126530","doi":"10.3968/11864","title":"An Analysis of Prosecutorial Accountability Mechanism for Wrongful Cases","year":2020,"lang":"en","type":"article","venue":"Canadian social science","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Misconduct; Mechanism (biology); Political science; Economic Justice; Law; Criminal justice; Law and economics; Sociology; Philosophy; Epistemology","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":[0.01206624,0.0004882845,0.000976135,0.003488578,0.001967585,0.005011506,0.002966093,0.003146989,0.01810904],"category_scores_gemma":[0.04299722,0.0005087327,0.001855202,0.00220221,0.003132423,0.007588832,0.001955692,0.002981225,0.001406454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005133415,"about_ca_system_score_gemma":0.005268941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00525229,"about_ca_topic_score_gemma":0.00229989,"domain_scores_codex":[0.9909357,0.002961522,0.0004561815,0.0009580842,0.002331839,0.002356519],"domain_scores_gemma":[0.9508656,0.02255774,0.01154651,0.005065946,0.008013996,0.001950187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004851787,0.00006588439,0.004562057,0.00005289962,0.00003369001,0.0002599965,0.000369161,0.00683554,0.000518648,0.9715415,0.003145579,0.01256643],"study_design_scores_gemma":[0.00008382231,0.0001086617,0.01060118,0.0001269036,0.0001497986,0.0007811206,0.0006078311,0.1229168,0.001438737,0.8498464,0.0132439,0.00009482004],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2834368,0.003201346,0.5216054,0.01932501,0.0005583265,0.0007581323,0.0007159605,0.0007045454,0.1696944],"genre_scores_gemma":[0.9726993,0.0006468309,0.01033702,0.0003598006,0.0002690738,0.0001343069,0.000103643,0.00004350727,0.01540628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9947477,"threshold_uncertainty_score":0.06381315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04662385971017089,"score_gpt":0.2536146361525696,"score_spread":0.2069907764423987,"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."}}