{"id":"W2567498147","doi":"10.1038/tp.2016.148","title":"Insights into psychosis risk from leukocyte microRNA expression","year":2016,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina at Chapel Hill; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; International Mental Health Research Organization; National Institute of Mental Health; National Alliance for Research on Schizophrenia and Depression; Gerber Foundation","keywords":"Psychosis; microRNA; Biomarker; Immune system; Schizophrenia (object-oriented programming); Small RNA; Bioinformatics; Biology; Medicine; Oncology; Psychology; Immunology; Psychiatry; Genetics; Gene","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":[0.0004549365,0.0002750399,0.0002849031,0.0007080869,0.0001544199,0.000480932,0.0001172135,0.000236675,0.0009334165],"category_scores_gemma":[0.001171756,0.0001508859,0.0001977784,0.0003747985,0.0002101717,0.0001698382,0.0003643814,0.000328319,0.0001934417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017051,"about_ca_system_score_gemma":0.000200422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007999003,"about_ca_topic_score_gemma":0.001308284,"domain_scores_codex":[0.9997728,0.00009366842,0.00001591084,0.0000525773,0.00003362169,0.0000313012],"domain_scores_gemma":[0.9997194,0.00008309269,0.0001163928,0.00001903596,0.00002534935,0.00003658019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001604062,0.0000880966,0.8330628,0.00009406039,0.0001617249,0.0004260396,0.0007058264,0.001142667,0.1139989,0.0006520498,0.0003479483,0.04771576],"study_design_scores_gemma":[0.00001627787,0.0003333667,0.9805659,0.00003338091,0.00008965559,0.0005346166,0.0004513158,0.004727702,0.01096576,0.001156032,0.001105382,0.0000206247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965503,0.0004792418,0.001985526,0.00008799852,0.000005368645,0.000007386422,0.0002098378,0.00001610866,0.0006581193],"genre_scores_gemma":[0.9983913,0.0002003259,0.001037843,0.00002998263,0.000003617059,0.00000881998,0.00008749427,0.000003774215,0.0002368244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009334165,"threshold_uncertainty_score":0.003122568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655397523856152,"score_gpt":0.2549378318507369,"score_spread":0.2383838566121754,"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."}}