{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015998,0.0005524539,0.0008556328,0.004210479,0.001232269,0.001581993,0.001519492,0.0008216696,0.005416229],"category_scores_gemma":[0.03146343,0.0005931183,0.001628563,0.001464723,0.001022699,0.00110089,0.002217888,0.002420699,0.002241645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103687,"about_ca_system_score_gemma":0.005236715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002694442,"about_ca_topic_score_gemma":0.004476106,"domain_scores_codex":[0.99038,0.002504918,0.00193099,0.0006796604,0.004140741,0.0003636423],"domain_scores_gemma":[0.9772878,0.005223339,0.001289183,0.001501045,0.01374398,0.0009546584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008735397,0.00329805,0.3932822,0.001078228,0.0002189645,0.0005804394,0.008608636,0.001429242,0.009082593,0.00657307,0.02041331,0.5545617],"study_design_scores_gemma":[0.0004699656,0.003514079,0.8803672,0.001669976,0.000174937,0.00177931,0.00583295,0.01046078,0.005533006,0.00608163,0.08387531,0.0002408618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8565937,0.001585987,0.04922335,0.002476063,0.001089999,0.02758304,0.00744012,0.0009602024,0.05304767],"genre_scores_gemma":[0.7174971,0.001500016,0.2184512,0.0009040015,0.0002965581,0.04164072,0.01015473,0.0003190534,0.009236728],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.015998,"threshold_uncertainty_score":0.08460653,"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."}}