{"id":"W4408152470","doi":"10.1080/13552600.2025.2471770","title":"Structural equation modelling in male sexual violence against women research: best practices in statistical reporting and interpretation","year":2025,"lang":"en","type":"article","venue":"Journal of Sexual Aggression","topic":"Sexual Assault and Victimization Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Interpretation (philosophy); Psychology; Sexual violence; Sex offense; Human factors and ergonomics; Poison control; Structural equation modeling; Injury prevention; Suicide prevention; Clinical psychology; Sexual assault; Occupational safety and health; Criminology; Medical emergency; Medicine; Sexual abuse; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5232495,0.002279171,0.006203452,0.01814676,0.003180347,0.01326892,0.006159559,0.004824327,0.006203969],"category_scores_gemma":[0.7993629,0.003095645,0.009183062,0.03219873,0.009921437,0.01274573,0.007647864,0.009117914,0.002141359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008897942,"about_ca_system_score_gemma":0.03745215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110382,"about_ca_topic_score_gemma":0.0166577,"domain_scores_codex":[0.2791707,0.6010305,0.07453693,0.009604071,0.03446838,0.001189477],"domain_scores_gemma":[0.1030471,0.7567399,0.03937076,0.05056386,0.04941066,0.0008677459],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003581679,0.000201443,0.02297593,0.1556392,0.006583104,0.000500475,0.04474033,0.005876425,0.001161184,0.110171,0.04706769,0.6047251],"study_design_scores_gemma":[0.0004635206,0.0005690363,0.01641553,0.364197,0.005820378,0.0009788169,0.01825,0.01893943,0.003734642,0.3168002,0.2531331,0.0006983201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01023991,0.2037249,0.6923509,0.06708911,0.004124519,0.00740503,0.004372315,0.001696226,0.008997069],"genre_scores_gemma":[0.08499815,0.07824604,0.8076142,0.005890882,0.0008918316,0.01910846,0.00164311,0.0007835663,0.0008237796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4767505,"threshold_uncertainty_score":0.5879183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2558211411202045,"score_gpt":0.4874696695020113,"score_spread":0.2316485283818068,"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."}}