{"id":"W4389035581","doi":"10.1037/tra0001602","title":"Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles.","year":2023,"lang":"en","type":"article","venue":"Psychological Trauma Theory Research Practice and Policy","topic":"Mental Health via Writing","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Homewood Research Institute; McMaster University","funders":"Canadian Institute for Military and Veteran Health Research; Mitacs; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Anxiety; Clinical psychology; Psychological intervention; Population; Psychology; Depression (economics); Psychiatry; Cognition; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002339903,0.0008768355,0.0007376865,0.001480318,0.0003352737,0.001316121,0.0007955901,0.0008678516,0.002101594],"category_scores_gemma":[0.01089295,0.0003101128,0.0008442128,0.0009246913,0.0003653364,0.0007823335,0.0006817066,0.002217386,0.0003911977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298158,"about_ca_system_score_gemma":0.001209949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007513518,"about_ca_topic_score_gemma":0.01216125,"domain_scores_codex":[0.9992934,0.0004132384,0.00004226305,0.0001546456,0.00005842037,0.00003795234],"domain_scores_gemma":[0.9966164,0.002645991,0.0003674585,0.000129164,0.0001585053,0.00008245787],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006203256,0.0008601398,0.4250015,0.0006230877,0.00173853,0.0002767776,0.0003596181,0.276225,0.001573011,0.003754909,0.01635759,0.2726095],"study_design_scores_gemma":[0.00006792646,0.0003341844,0.04153161,0.0002664483,0.0004352651,0.0001026188,0.0001923318,0.940375,0.0005201215,0.013491,0.002637935,0.00004551651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6690164,0.01385099,0.271171,0.02474678,0.0003949748,0.00063099,0.01243459,0.001347628,0.006406621],"genre_scores_gemma":[0.9522727,0.001796775,0.03957815,0.001110345,0.0002076838,0.0002724719,0.003539517,0.00003289139,0.001189544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9976601,"threshold_uncertainty_score":0.01493961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3496471757646817,"score_gpt":0.5030912980780038,"score_spread":0.1534441223133221,"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."}}