{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0108918,0.0002782311,0.0004405733,0.0004471116,0.001314951,0.0001008724,0.0002042048,0.0002851925,0.0005144891],"category_scores_gemma":[0.002964748,0.0002312366,0.00009041223,0.0008450405,0.0008954668,0.0003578658,0.0001874605,0.001246463,0.00003158845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756901,"about_ca_system_score_gemma":0.00004243101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006837518,"about_ca_topic_score_gemma":0.00000691002,"domain_scores_codex":[0.9930559,0.003695079,0.0005295441,0.000881442,0.0006995621,0.001138503],"domain_scores_gemma":[0.9916348,0.007176692,0.0002290676,0.000281195,0.0002160024,0.0004622198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0217147,0.004970816,0.04454602,0.001665352,0.002005574,0.0002452146,0.05530806,0.001460435,0.0009541477,0.7103477,0.01298281,0.1437992],"study_design_scores_gemma":[0.02427677,0.01025553,0.551972,0.000310478,0.0003017692,0.001676153,0.05403678,0.1096115,0.00001693397,0.2211181,0.02492252,0.001501461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054966,0.00131448,0.004905275,0.006964182,0.0001781537,0.003439236,0.0004440107,0.000488069,0.07676998],"genre_scores_gemma":[0.9926714,0.0005279257,0.001027912,0.001066383,0.0007423196,0.001102294,0.0004421416,0.00005175791,0.002367889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.507426,"threshold_uncertainty_score":0.9999852,"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."}}