{"id":"W4412902083","doi":"10.56367/oag-047-11260","title":"Adapting effective sexual assault prevention for online delivery","year":2025,"lang":"en","type":"article","venue":"Open Access Government","topic":"Sexual Assault and Victimization Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Sexual assault; Psychology; Computer security; Computer science; Suicide prevention; Medical emergency; Poison control; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005229244,0.0004160516,0.0002386543,0.0008129776,0.000762639,0.001256587,0.001337458,0.0007627142,0.01644205],"category_scores_gemma":[0.01868936,0.0002336147,0.0006910925,0.0004921291,0.0005526093,0.00190224,0.002704688,0.001204796,0.002253217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008490458,"about_ca_system_score_gemma":0.002714802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501663,"about_ca_topic_score_gemma":0.001904743,"domain_scores_codex":[0.9966565,0.001866404,0.000171171,0.0001782569,0.0006825892,0.0004449892],"domain_scores_gemma":[0.9950551,0.00231403,0.0004190552,0.0007540405,0.000397616,0.001060121],"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":[0.0001923189,0.01085833,0.007398957,0.001419402,0.00005802863,0.0002368721,0.004155623,0.001001982,0.002326363,0.002745052,0.0233443,0.9462627],"study_design_scores_gemma":[0.004991938,0.02309054,0.252425,0.01004328,0.0007115229,0.003356015,0.02277851,0.009221626,0.01473933,0.0324448,0.6257579,0.0004395454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6826075,0.002521414,0.07366387,0.03086099,0.002243174,0.01876687,0.0009048829,0.004956482,0.1834748],"genre_scores_gemma":[0.7665233,0.004103725,0.1920587,0.00798129,0.000870047,0.01048439,0.0006504181,0.000282565,0.01704553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01644205,"threshold_uncertainty_score":0.05500418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09689345764809078,"score_gpt":0.4800371229941363,"score_spread":0.3831436653460455,"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."}}