{"id":"W6988150094","doi":"","title":"What is Canada Doing? An Analysis of Canadian University Sexual Violence Policies","year":2021,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Sexual violence; Discretion; Power (physics); Public policy; Social issues; Social policy; Policy analysis; Human factors and ergonomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004460541,0.0002741652,0.0004889262,0.006281131,0.01643554,0.008564532,0.001663428,0.001151498,0.003264446],"category_scores_gemma":[0.01577398,0.0003393849,0.0004494924,0.01863714,0.004275049,0.001582545,0.002270252,0.002087903,0.0002081058],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2966861,"about_ca_system_score_gemma":0.3735982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985447,"about_ca_topic_score_gemma":0.9986159,"domain_scores_codex":[0.9921293,0.0007261012,0.0002531129,0.0003536275,0.003225666,0.003312163],"domain_scores_gemma":[0.9829795,0.003204733,0.001398196,0.0005446255,0.0088324,0.003040594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002498405,0.0001462938,0.3881332,0.0009831485,0.0001768903,0.001068542,0.1404156,0.004621502,0.001505064,0.2554961,0.0616664,0.1455374],"study_design_scores_gemma":[0.00001070646,0.00003743136,0.5856008,0.0007907227,0.00009139772,0.00008662337,0.1758762,0.001688063,0.0005941584,0.003806857,0.231266,0.0001509886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7752407,0.006527144,0.001174895,0.04086043,0.0001484948,0.0002827934,0.007654316,0.00005545749,0.1680558],"genre_scores_gemma":[0.9841202,0.003899843,0.0007084188,0.001861802,0.00001646541,0.00006661811,0.001304199,0.0000252528,0.007997319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7033139,"threshold_uncertainty_score":0.8157445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565261776717806,"score_gpt":0.1999607082853961,"score_spread":0.184308090518218,"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."}}