{"id":"W4225127191","doi":"10.1136/gpsych-2022-100753","title":"Artificial intelligence‐assisted niacin skin flush screening in early psychosis identification and prediction","year":2022,"lang":"en","type":"article","venue":"General Psychiatry","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"The King's University; University of Waterloo","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Psychosis; Niacin; Identification (biology); Medicine; Psychiatry; Internal medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.000359237,0.0001369991,0.0001760349,0.0003500692,0.0002585673,0.00004769464,0.00008354753,0.00005548227,0.0001779215],"category_scores_gemma":[0.00001727054,0.0001364125,0.00007770454,0.0005640308,0.00004361182,0.0000851736,0.00006268701,0.0003301449,0.00002039384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000907841,"about_ca_system_score_gemma":0.0001045388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004127468,"about_ca_topic_score_gemma":0.0006122919,"domain_scores_codex":[0.9983394,0.000120274,0.0004040656,0.0004192796,0.0004362652,0.0002806919],"domain_scores_gemma":[0.999452,0.00001584444,0.00007405486,0.0002721026,0.00003379204,0.000152222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005832587,0.001018823,0.6593797,0.00004725576,0.000160234,0.00002773579,0.0004511663,0.0002660152,0.002891976,0.004989746,0.002643469,0.3222913],"study_design_scores_gemma":[0.0008776961,0.0005232806,0.986088,0.00002879246,0.00005188063,0.00006817345,0.0004043797,0.003843972,0.0007835072,0.007005962,0.0002005429,0.0001238485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913996,0.0007173971,0.001358688,0.005045022,0.0007383326,0.0005024453,0.00005120558,0.00005834826,0.0001290027],"genre_scores_gemma":[0.9874234,0.00004864163,0.01124723,0.0001571724,0.0004067123,0.0002304318,0.0001613361,0.00002138529,0.0003036644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3267083,"threshold_uncertainty_score":0.5562739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03637858710904329,"score_gpt":0.3134734532605121,"score_spread":0.2770948661514688,"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."}}