{"id":"W2789211111","doi":"10.1016/j.schres.2017.11.030","title":"The Early Psychosis Screener (EPS): Quantitative validation against the SIPS using machine learning","year":2018,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Prodrome; Psychosis; Psychology; Clinical psychology; Mania; Anxiety; Psychiatry; Receiver operating characteristic; Schizophrenia (object-oriented programming); Bipolar disorder; Mood; Medicine; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004548769,0.0003194223,0.0003282675,0.0004309198,0.004044899,0.0005248508,0.000649265,0.0001497234,0.000186806],"category_scores_gemma":[0.00199806,0.0001679992,0.0002177869,0.001862584,0.001627416,0.0002286372,0.0003613542,0.001854755,0.001014375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003157324,"about_ca_system_score_gemma":0.0006178246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001471161,"about_ca_topic_score_gemma":0.001403799,"domain_scores_codex":[0.9935821,0.0016407,0.0004606085,0.0006799444,0.002343516,0.001293096],"domain_scores_gemma":[0.995223,0.00171221,0.0001238337,0.001072232,0.001427166,0.0004415253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2525795,0.001874331,0.1322604,0.0002030066,0.004123546,0.0005504601,0.004958575,0.0001707786,0.08736511,0.09832162,0.01188049,0.4057122],"study_design_scores_gemma":[0.05632265,0.02540422,0.4648887,0.001879319,0.0008331753,0.0004939677,0.007799065,0.1573247,0.1621356,0.035872,0.08436991,0.002676662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845361,0.001970977,0.0001966691,0.00928291,0.0002086292,0.001364986,0.00002074866,0.0001073364,0.0023117],"genre_scores_gemma":[0.9896274,0.0006878275,0.006536286,0.00009351626,0.0008673393,0.0001698984,0.0000546206,0.0000835431,0.001879558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4030356,"threshold_uncertainty_score":0.9997634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263526445766426,"score_gpt":0.4153202634064398,"score_spread":0.2889676188297973,"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."}}