{"id":"W4240210251","doi":"10.3138/utlj.0302","title":"INTRODUCTION","year":2013,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminalization; Punitive damages; Supreme court; Criminology; Test (biology); Political science; Law; Sexual intercourse; Psychology; Sociology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001280304,0.0006369189,0.0004816603,0.001172094,0.005488366,0.006541456,0.002306569,0.003425169,0.3610664],"category_scores_gemma":[0.004383704,0.0002724381,0.0005377831,0.001526272,0.001564237,0.002835799,0.003452882,0.002380267,0.1651354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008406583,"about_ca_system_score_gemma":0.0123785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1255021,"about_ca_topic_score_gemma":0.1908238,"domain_scores_codex":[0.9979904,0.0001701418,0.00006959975,0.0003916418,0.0009548643,0.0004233612],"domain_scores_gemma":[0.9977543,0.0001915818,0.0000671845,0.0002518846,0.001229467,0.0005055371],"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":[0.00001865893,0.00001718961,0.000602417,0.0000863755,0.000002379735,0.000131891,0.0006589054,0.00005803003,0.0001574636,0.06456111,0.8730171,0.06068849],"study_design_scores_gemma":[0.00000105872,0.000002716196,0.0002684795,0.00004102032,7.489526e-7,0.00004109444,0.0001657692,0.0000135966,0.00003168777,0.001437909,0.997993,0.000002917838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00141874,0.002723346,0.002639495,0.02412611,0.007479549,0.000165952,0.003847433,0.0005724325,0.9570269],"genre_scores_gemma":[0.01070766,0.002172667,0.001851486,0.01188202,0.00122403,0.00009119729,0.002680968,0.0002850697,0.9691049],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6389336,"threshold_uncertainty_score":0.9113612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008082832676914065,"score_gpt":0.2253796253075708,"score_spread":0.2172967926306567,"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."}}