{"id":"W7034774657","doi":"","title":"The Use of Arguments about Myths and Stereotypes to Appeal Sexual Assault Convictions in Canada","year":2023,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conviction; Appeal; Sexual assault; Mythology; Doctrine; Plaintiff; Criminal law; Phenomenon; Derogation","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":[0.004194111,0.0002921467,0.0004562269,0.001789309,0.01362268,0.008611945,0.001890819,0.002422265,0.004280812],"category_scores_gemma":[0.01654688,0.0003242639,0.000412827,0.002723539,0.008307423,0.001546306,0.002384353,0.003997164,0.0001880738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1277516,"about_ca_system_score_gemma":0.1177147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922955,"about_ca_topic_score_gemma":0.9967672,"domain_scores_codex":[0.995233,0.001214892,0.00009594437,0.0002204965,0.001707088,0.001528523],"domain_scores_gemma":[0.9937897,0.003039085,0.0004305625,0.000165565,0.001815399,0.0007596471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002418756,0.0001291446,0.02938695,0.0003089528,0.0001079564,0.001184166,0.02978922,0.01242446,0.0007299859,0.8082201,0.03700888,0.08046832],"study_design_scores_gemma":[0.0003627828,0.0001693505,0.1180226,0.002118367,0.0004689505,0.0006122515,0.1726614,0.09373121,0.003851244,0.2080351,0.3995029,0.0004639001],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5353098,0.005653301,0.005886798,0.04419047,0.0003101442,0.0001614291,0.0002108969,0.00006526909,0.4082119],"genre_scores_gemma":[0.9860135,0.001043991,0.001204086,0.001128686,0.00001400847,0.00001426918,0.0000306561,0.00001156865,0.01053927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277516,"threshold_uncertainty_score":0.9269071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679836218695252,"score_gpt":0.1890999931703537,"score_spread":0.1623016309834012,"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."}}