{"id":"W2958977697","doi":"10.1016/j.psyneuen.2019.07.125","title":"Applying biomarkers in psychiatry: Paving the way towards precision psychiatry","year":2019,"lang":"en","type":"article","venue":"Psychoneuroendocrinology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychiatry; Psychology; Precision medicine; Medicine","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":[0.02892805,0.001718238,0.004059845,0.004377446,0.001825413,0.01032518,0.002859603,0.009085085,0.005294457],"category_scores_gemma":[0.03975325,0.001240246,0.001607449,0.002347102,0.00976145,0.01205497,0.00629703,0.01154744,0.001532807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003192648,"about_ca_system_score_gemma":0.009046783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006435342,"about_ca_topic_score_gemma":0.008052593,"domain_scores_codex":[0.9909524,0.004939607,0.000864593,0.001084618,0.001664318,0.0004944848],"domain_scores_gemma":[0.93908,0.03861658,0.004654763,0.004905529,0.01003238,0.002710791],"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":[0.0007851989,0.000692424,0.06338063,0.004985676,0.00133903,0.0006706507,0.001444961,0.003344991,0.01244773,0.1168066,0.05796275,0.7361392],"study_design_scores_gemma":[0.0002480863,0.0009374945,0.04510313,0.007949708,0.0008262685,0.001595852,0.003344342,0.00386948,0.007532097,0.6325317,0.2955882,0.0004736252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01324646,0.5432007,0.1094497,0.311033,0.006495039,0.0002012797,0.001366792,0.0008079818,0.01419917],"genre_scores_gemma":[0.2521001,0.4047014,0.2235078,0.09853895,0.01475927,0.0004926939,0.0007634118,0.0002397355,0.004896646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02892805,"threshold_uncertainty_score":0.152988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178398311240637,"score_gpt":0.2623889254749613,"score_spread":0.250604942362555,"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."}}