{"id":"W6884634809","doi":"10.11575/prism/39804","title":"Calling in All Men: 26 Recommendations for Engaging and Mobilizing Men to Prevent Violence and Advance Equity","year":2022,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Action (physics); Foundation (evidence); Suicide prevention; Human factors and ergonomics; Domestic violence; Poison control","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":[0.1630064,0.001963451,0.002453164,0.007610974,0.01005028,0.02169596,0.01015919,0.01373914,0.03033641],"category_scores_gemma":[0.2041586,0.001446059,0.003980472,0.007477859,0.0111208,0.01872871,0.01347478,0.01298016,0.01010856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02612598,"about_ca_system_score_gemma":0.2145101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.137433,"about_ca_topic_score_gemma":0.3467844,"domain_scores_codex":[0.8536193,0.1126363,0.009108957,0.002848415,0.01587187,0.005915078],"domain_scores_gemma":[0.7471507,0.1549251,0.01110525,0.01158454,0.04973608,0.02549837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001766057,0.0003069937,0.001226842,0.02607982,0.0001328814,0.0002666181,0.01627212,0.000270652,0.000166346,0.0380876,0.5462353,0.3707784],"study_design_scores_gemma":[0.0002865617,0.0001168396,0.00156352,0.09520412,0.0003244215,0.0001494308,0.03001582,0.0001760857,0.0003647611,0.0208444,0.8508044,0.0001495933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001516934,0.1225405,0.005330717,0.7767004,0.01201792,0.004196834,0.001206811,0.0006152181,0.07587469],"genre_scores_gemma":[0.04404374,0.3442889,0.1548259,0.3629341,0.004207136,0.02332223,0.002037755,0.0008517975,0.06348839],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1630064,"threshold_uncertainty_score":0.8620707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040314036020502,"score_gpt":0.4206552328995246,"score_spread":0.3166238292974743,"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."}}