{"id":"W4406905198","doi":"10.3390/jcm14030844","title":"A Dimensional Diagnostic Strategy for Depressive Disorders","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Medicine","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; University of Calgary","keywords":"Categorical variable; Medicine; Vulnerability (computing); Population health; Categorization; Distress; Population; Depression (economics); Scale (ratio); Mental health; Data collection; Clinical psychology; Psychiatry; Machine learning; Environmental health; Artificial intelligence; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.006336168,0.001003273,0.0007198464,0.006973147,0.001746441,0.002372141,0.001982208,0.0008261301,0.009666354],"category_scores_gemma":[0.02214349,0.0003208135,0.002027675,0.005409311,0.00111173,0.001318549,0.003006285,0.00198984,0.001782182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004455531,"about_ca_system_score_gemma":0.008814904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04479363,"about_ca_topic_score_gemma":0.04201666,"domain_scores_codex":[0.9949137,0.002663482,0.0008231232,0.0004933304,0.0008750268,0.0002313009],"domain_scores_gemma":[0.9946676,0.001499004,0.0006314077,0.000615479,0.002359891,0.0002266777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005821412,0.0003012357,0.1799682,0.00157157,0.0004650255,0.0006136016,0.005981593,0.009257311,0.001814703,0.2715056,0.1065392,0.4213999],"study_design_scores_gemma":[0.0005667461,0.0004597842,0.1562494,0.002395221,0.0005810177,0.004529969,0.01095049,0.1116824,0.001861798,0.3837974,0.3265035,0.0004221974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08364683,0.005151715,0.7450284,0.01224424,0.002221018,0.01524284,0.05392323,0.001466783,0.08107494],"genre_scores_gemma":[0.2945889,0.00185043,0.6650183,0.00188333,0.0002115914,0.01267892,0.01925149,0.000160294,0.004356833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04479363,"threshold_uncertainty_score":0.08906579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137830695547933,"score_gpt":0.5543881705008942,"score_spread":0.4406051009461009,"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."}}