{"id":"W3037455856","doi":"10.1093/schizbullopen/sgaa032","title":"Patient Stratification Using Metabolomics to Address the Heterogeneity of Psychosis","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin Open","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Fondation de l'Hôpital de Montréal pour enfants; Children's Hospital Foundation","keywords":"Cluster analysis; Psychosis; Metabolomics; Hierarchical clustering; Cluster (spacecraft); Identification (biology); Computational biology; Bioinformatics; Psychology; Medicine; Computer science; Biology; Psychiatry; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001435888,0.0001453862,0.0002021524,0.00002991648,0.0001842055,0.0001585813,0.001035643,0.000043006,0.0003406795],"category_scores_gemma":[0.0003995134,0.0001090018,0.00007282131,0.000374372,0.00009150872,0.0000663312,0.0003843706,0.0001290821,0.0001484107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001119023,"about_ca_system_score_gemma":0.00004012097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000907809,"about_ca_topic_score_gemma":0.00002032795,"domain_scores_codex":[0.9985425,0.0002303993,0.0003203355,0.0004536028,0.0002566427,0.0001964882],"domain_scores_gemma":[0.9991385,0.0001040807,0.0001721827,0.0004150872,0.00004082623,0.0001292703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001558066,0.0001949161,0.0001150966,0.00002769212,0.00002336562,0.00000324282,0.00159391,0.00130236,0.9573848,0.005501184,0.0137713,0.01852405],"study_design_scores_gemma":[0.000858033,0.0001745227,0.00108439,0.00002262798,0.00001712082,0.000003884132,0.0002981311,0.0004616325,0.9444695,0.0002673851,0.05209591,0.0002469268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828722,0.00005671748,0.0003045925,0.01410972,0.0001517378,0.001117436,0.00007090702,0.00003061375,0.001286106],"genre_scores_gemma":[0.9897316,0.00001372506,0.003805823,0.006321106,0.00004258773,0.00004821091,0.000002601676,0.00001981736,0.00001453042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03832461,"threshold_uncertainty_score":0.4444966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07218411870358235,"score_gpt":0.3085099883269132,"score_spread":0.2363258696233309,"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."}}