{"id":"W4399548650","doi":"10.1177/10778012241259727","title":"Canadian Gender-Based Violence Prevention Programs: Gaps and Opportunities","year":2024,"lang":"en","type":"article","venue":"Violence Against Women","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University; Western University; Royal Roads University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Intervention (counseling); Suicide prevention; Poison control; State (computer science); Injury prevention; Medicine; Human factors and ergonomics; Public relations; Criminology; Political science; Medical emergency; Environmental health; Psychology; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005260119,0.0004347453,0.0006911317,0.004667193,0.009329433,0.004417458,0.001998658,0.0007780493,0.007601468],"category_scores_gemma":[0.01004689,0.0003221575,0.000491225,0.008583164,0.002120075,0.002208692,0.002649635,0.001331779,0.000308368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06913588,"about_ca_system_score_gemma":0.2500124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9824866,"about_ca_topic_score_gemma":0.9945263,"domain_scores_codex":[0.9953042,0.0006588507,0.0001704653,0.000273792,0.001813026,0.001779508],"domain_scores_gemma":[0.985867,0.002593603,0.001053963,0.0002937685,0.00680422,0.003387467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000218627,0.0002645175,0.1707888,0.003330751,0.00009564668,0.0003475134,0.03359293,0.0005001563,0.0007118953,0.01853334,0.0351863,0.7364296],"study_design_scores_gemma":[0.00002719411,0.0001543903,0.640157,0.004879699,0.0002233624,0.0002241979,0.1581278,0.0007503643,0.0008072294,0.003959598,0.1905921,0.0000970023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5425596,0.1234192,0.003396122,0.1789215,0.001391272,0.0004602874,0.00707433,0.0003677912,0.1424098],"genre_scores_gemma":[0.9260738,0.05695603,0.004834074,0.004571696,0.0001221437,0.0001352855,0.001304193,0.00004575561,0.005957137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06913588,"threshold_uncertainty_score":0.5016183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06056212762472993,"score_gpt":0.3032991668768036,"score_spread":0.2427370392520737,"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."}}