{"id":"W4238541876","doi":"10.1093/obo/9780195399301-0213","title":"Crime and Punishment","year":2013,"lang":"en","type":"reference-entry","venue":"Renaissance and Reformation","topic":"Medieval and Early Modern Justice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Historiography; Criminology; Jurisdiction; Punishment (psychology); Testimonial; Witness; State (computer science); Political science; Jury; Criminal justice; Theme (computing); Law; History; Sociology; Psychology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011826,0.0008552896,0.0008118149,0.002900652,0.004177814,0.008449825,0.001102215,0.003652669,0.0153349],"category_scores_gemma":[0.005482383,0.0002063495,0.0004332663,0.002461494,0.02480227,0.004127017,0.004804419,0.003228661,0.002483184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005954864,"about_ca_system_score_gemma":0.006145199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009093871,"about_ca_topic_score_gemma":0.008884001,"domain_scores_codex":[0.9942943,0.002702763,0.0002802286,0.000792363,0.001211343,0.00071896],"domain_scores_gemma":[0.9975151,0.0008431918,0.000432579,0.0003602433,0.000525058,0.0003238928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000947858,0.00002059973,0.0009247635,0.00009891198,0.000007101945,0.00007460246,0.001530189,0.0001946845,0.00001836118,0.956737,0.01768616,0.02269817],"study_design_scores_gemma":[0.00001455721,0.00006270852,0.005718226,0.0009957176,0.000009159601,0.0005715688,0.004110416,0.0002165924,0.00006576649,0.3139178,0.6742879,0.00002956321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009846344,0.06213311,0.002815313,0.03110243,0.002109594,0.0000775919,0.0003364324,0.00004274559,0.8915364],"genre_scores_gemma":[0.7110669,0.07363982,0.004079596,0.01897248,0.004120906,0.0004232715,0.0005635017,0.0001031894,0.1870302],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0153349,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03390068355421539,"score_gpt":0.2886683408033587,"score_spread":0.2547676572491433,"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."}}