{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005314483,0.0001325385,0.0001658725,0.0005725985,0.0002912348,0.0003348374,0.00102295,0.00005171109,0.00001419969],"category_scores_gemma":[0.00004824363,0.0001392276,0.0000310958,0.003105037,0.0001167671,0.002202668,0.001165397,0.0001869319,0.00002716969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431905,"about_ca_system_score_gemma":0.0009874637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0213481,"about_ca_topic_score_gemma":0.02558966,"domain_scores_codex":[0.9986392,0.0001183016,0.0001412317,0.0003604348,0.0003958457,0.0003449367],"domain_scores_gemma":[0.998782,0.000440791,0.00007588698,0.0003781835,0.00005931256,0.0002637976],"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":[0.000804164,0.0004696074,0.3592178,0.0001765904,0.0006402352,0.003479115,0.003032558,0.05060933,0.00003583287,0.2011593,0.2722773,0.1080981],"study_design_scores_gemma":[0.0009161963,0.0001096584,0.02722169,0.00004381955,0.00001213662,0.000005900682,0.005455605,0.04443113,0.00002653245,0.00004753947,0.9213886,0.0003412013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8042122,0.0001375995,0.0944268,0.01307686,0.00148049,0.002785736,0.003654301,0.001397133,0.07882888],"genre_scores_gemma":[0.8252087,0.0002647259,0.01261839,0.000279774,0.00003860008,4.82858e-7,0.0001829917,0.00003875974,0.1613676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6491113,"threshold_uncertainty_score":0.9921908,"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."}}