{"id":"W4399060925","doi":"10.29173/mlj728","title":"Conditional Sentences in Manitoba: A Prisoner in Your Own Home","year":2005,"lang":"en","type":"article","venue":"Manitoba Law Journal","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Psychology; Computer science; Criminology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00125505,0.0001389478,0.000209267,0.0001629335,0.0006459864,0.0002902523,0.000397841,0.0001055244,0.0005329],"category_scores_gemma":[0.00008979334,0.0001276899,0.00008667357,0.0002719549,0.0003176974,0.000929707,0.0000478387,0.0005257353,0.0002210106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105096,"about_ca_system_score_gemma":0.0001371278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07547306,"about_ca_topic_score_gemma":0.9156342,"domain_scores_codex":[0.9978665,0.0002429107,0.0004365855,0.0002087369,0.0006930205,0.0005522952],"domain_scores_gemma":[0.9993665,0.0001199624,0.0001377406,0.00009383952,0.00009899199,0.0001829722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000264848,0.001065832,0.5430709,0.00004594097,0.00005147724,0.001911721,0.01906266,0.0008776056,0.0003174847,0.3507341,0.01347185,0.06912553],"study_design_scores_gemma":[0.001577298,0.0001332867,0.2895316,0.0003555535,0.00002995625,0.0004555866,0.2029958,0.0001430582,0.00008402135,0.04793716,0.456074,0.0006826522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687009,0.0004214772,0.00003917298,0.01141532,0.0004990465,0.0001486978,0.000005194592,0.00002605882,0.01874414],"genre_scores_gemma":[0.996913,0.0002334826,0.000388838,0.0006678446,0.001654293,0.000009563025,0.000002406805,0.000009602795,0.0001210266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8401611,"threshold_uncertainty_score":0.9306834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05937462223402436,"score_gpt":0.3243151323213828,"score_spread":0.2649405100873584,"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."}}