{"id":"W2079057988","doi":"10.1177/0032885506293251","title":"Setting Aside Criminal Convictions in Canada","year":2006,"lang":"en","type":"article","venue":"The Prison Journal","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aside; Conviction; Criminology; Set-aside; Criminal record; Collateral; Criminal Conviction; Psychology; Political science; Forgiveness; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001909454,0.0003484616,0.0007167223,0.002888184,0.0155508,0.002878943,0.00361255,0.001435564,0.003651864],"category_scores_gemma":[0.01409053,0.0006297076,0.0005098819,0.004448745,0.001923443,0.0007123296,0.00376621,0.002834187,0.0003229392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1038363,"about_ca_system_score_gemma":0.200517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969079,"about_ca_topic_score_gemma":0.9992866,"domain_scores_codex":[0.9928492,0.0007044608,0.0002564774,0.0004915447,0.001768355,0.003929928],"domain_scores_gemma":[0.9832473,0.00118753,0.001811071,0.0003826002,0.005402238,0.007969264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005263319,0.0008848461,0.8437736,0.0002602063,0.0001477408,0.002572363,0.02434977,0.00138282,0.001025958,0.007289511,0.04152656,0.07626025],"study_design_scores_gemma":[0.00006653315,0.0002272973,0.9273413,0.0002720886,0.00007571134,0.0003580035,0.04722222,0.001139017,0.000468541,0.0005950861,0.02210576,0.0001284255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97289,0.0004689579,0.0001996516,0.004123801,0.00008828533,0.0004410186,0.001607784,0.00003980968,0.02014074],"genre_scores_gemma":[0.992326,0.0005354613,0.00050576,0.001652338,0.00001587226,0.0000753872,0.0006659864,0.00001663364,0.004206638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1038363,"threshold_uncertainty_score":0.7533888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386275828719241,"score_gpt":0.275660154793781,"score_spread":0.2617973965065886,"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."}}