{"id":"W4390144956","doi":"10.1080/13552600.2023.2292023","title":"Development and validation of the MIDSA-SC scale","year":2023,"lang":"en","type":"article","venue":"Journal of Sexual Aggression","topic":"Sexual Assault and Victimization Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sexual coercion; Coercion (linguistics); Psychology; Scale (ratio); Convergent validity; Aggression; Internal consistency; Social psychology; Clinical psychology; Sample (material); Sexual assault; Psychometrics; Poison control; Human factors and ergonomics; Medicine; Medical emergency","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074012,0.00004351398,0.0001037628,0.00007094398,0.0003724997,0.00001835997,0.0001027056,0.0000392701,0.00001874365],"category_scores_gemma":[0.0001864392,0.00002516131,0.00001478476,0.0003535035,0.00009331341,0.0001265493,0.00006086114,0.00006811756,0.000003881821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002458726,"about_ca_system_score_gemma":0.00008821696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001816538,"about_ca_topic_score_gemma":0.00003885448,"domain_scores_codex":[0.9990756,0.00008476338,0.0002511028,0.00005276237,0.0004468166,0.000088972],"domain_scores_gemma":[0.9993004,0.00008316193,0.0003486139,0.00003999349,0.0001867094,0.00004118035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001362299,0.0002110762,0.3087207,0.00009187114,0.0001234995,0.00000920796,0.2795593,0.0003494363,0.03286139,0.000428488,0.030076,0.3474328],"study_design_scores_gemma":[0.001861515,0.0003306912,0.3953437,0.001615013,0.0001162534,0.00001673036,0.1937212,0.000148135,0.08175289,0.001423915,0.3232603,0.0004096504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972364,0.0002186267,0.00004048071,0.001501994,0.0004742762,0.00004725183,6.232922e-7,0.000009289256,0.0004710263],"genre_scores_gemma":[0.9974699,0.0002946494,0.0006270219,0.00004309402,0.0001955931,9.494354e-7,7.490357e-7,0.000004035933,0.001363993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3470231,"threshold_uncertainty_score":0.2865005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05637186016423497,"score_gpt":0.3499967845015161,"score_spread":0.2936249243372811,"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."}}