{"id":"W7033408972","doi":"","title":"Refining the Judicial Lexicon:\\nThe Supreme Court of Canada Refines the Defences of Consent\\nand Mistaken Belief in Consent","year":2019,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Wireless Sensor Networks for Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paragraph; Supreme court; Criminal code; Sexual assault; Criminal law; Bodily integrity","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":[0.02893106,0.0008109114,0.001935377,0.004568152,0.02733335,0.02912815,0.007693146,0.02037659,0.00517663],"category_scores_gemma":[0.06536961,0.001053888,0.001245106,0.006881952,0.03646437,0.01257348,0.006260868,0.03106936,0.001280788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08920328,"about_ca_system_score_gemma":0.1612619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8965498,"about_ca_topic_score_gemma":0.8907425,"domain_scores_codex":[0.9586066,0.009568665,0.00308955,0.003999566,0.01785309,0.006882632],"domain_scores_gemma":[0.9437091,0.02650184,0.001414273,0.002371139,0.02424944,0.001754209],"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":[0.000007118415,0.000004808987,0.0002237338,0.00004937551,0.000003822351,0.0001103677,0.004668524,0.0001021183,0.00006999201,0.9106213,0.07856242,0.005576395],"study_design_scores_gemma":[0.00003926629,0.00001260128,0.001247375,0.001399848,0.00004010442,0.0002107561,0.006548528,0.001245228,0.0003140182,0.2557721,0.7330358,0.0001342994],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01028889,0.0201534,0.01811884,0.4729658,0.007273131,0.000232103,0.001140003,0.000280263,0.4695475],"genre_scores_gemma":[0.5773489,0.01781941,0.01510299,0.2993885,0.008219675,0.0004008331,0.0009463716,0.0005262714,0.08024704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1034502,"threshold_uncertainty_score":0.6472181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867969973477794,"score_gpt":0.2364632868517242,"score_spread":0.2077835871169463,"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."}}