{"id":"W3026093439","doi":"10.1093/schbul/sbaa029.581","title":"T21. DEVELOPMENT OF PROTEOMIC PREDICTION MODELS FOR OUTCOMES IN THE CLINICAL HIGH RISK STATE AND PSYCHOTIC EXPERIENCES IN ADOLESCENCE: MACHINE LEARNING ANALYSES IN TWO NESTED CASE-CONTROL STUDIES","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ste. Anne's Hospital","funders":"","keywords":"Psychosis; Subclinical infection; Psychology; Body mass index; Schizophrenia (object-oriented programming); Clinical psychology; Psychiatry; Internal 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":[0.04588987,0.001396455,0.001209248,0.001328527,0.001004343,0.002066533,0.002222398,0.001862605,0.001744915],"category_scores_gemma":[0.04901688,0.0008380673,0.004249049,0.0006017192,0.001009913,0.0006647356,0.001217748,0.001826894,0.0002630502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120447,"about_ca_system_score_gemma":0.001421737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111462,"about_ca_topic_score_gemma":0.004577219,"domain_scores_codex":[0.9892529,0.007353991,0.0006858594,0.002009168,0.0003972922,0.0003007766],"domain_scores_gemma":[0.968241,0.02570269,0.002187049,0.00178156,0.001506493,0.0005811307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01204538,0.001903298,0.8839473,0.0003966965,0.0133227,0.001294235,0.001019448,0.04594758,0.004620458,0.001440812,0.001326237,0.03273593],"study_design_scores_gemma":[0.001275661,0.003521568,0.2247338,0.0001397374,0.006338712,0.0008626642,0.0004711741,0.7572365,0.00198646,0.002208143,0.001128232,0.0000974456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599206,0.0006527471,0.03747384,0.0002886139,0.0000676018,0.0004647087,0.0007210356,0.0001105909,0.0003002483],"genre_scores_gemma":[0.9819337,0.00008414579,0.01643931,0.00004849042,0.00001859469,0.0004801193,0.0006948003,0.00001686873,0.0002839281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04588987,"threshold_uncertainty_score":0.2426918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09774448993260759,"score_gpt":0.3676082238551529,"score_spread":0.2698637339225453,"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."}}