{"id":"W2970774286","doi":"10.1111/bdi.12826","title":"Parsing metabolic heterogeneity in mood disorders: A hypothesis‐driven cluster analysis of glucose and insulin abnormalities","year":2019,"lang":"en","type":"article","venue":"Bipolar Disorders","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Brain and Cognition Discovery Foundation; Queen's University; University Health Network","funders":"","keywords":"Mood disorders; Insulin; Parsing; Mood; Cluster (spacecraft); Internal medicine; Medicine; Bipolar disorder; Psychology; Neuroscience; Clinical psychology; Psychiatry; Natural language processing; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002307794,0.0003183464,0.0009011453,0.0008340463,0.00005739047,0.00002368513,0.0001204412,0.0001567847,0.0001019554],"category_scores_gemma":[0.00005241104,0.0002838519,0.0003627323,0.001046331,0.0001442412,0.0001891987,0.00009200082,0.0001851971,0.00001811154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004108702,"about_ca_system_score_gemma":0.00006013936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756282,"about_ca_topic_score_gemma":0.02795843,"domain_scores_codex":[0.9981277,0.0001584369,0.0004986494,0.0004818277,0.0003106137,0.0004227683],"domain_scores_gemma":[0.9990215,0.0001454717,0.0001474757,0.0005129484,0.0000369234,0.000135701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001975639,0.0007222309,0.9225664,0.0001332476,0.001772262,4.204671e-7,0.001274948,0.0002075524,0.0003729465,0.0001356594,0.000001944872,0.07261483],"study_design_scores_gemma":[0.003727712,0.0002348085,0.983455,0.00005206,0.002028138,0.000003804917,0.0006743841,0.002704722,0.0005848825,0.0002196282,0.006043185,0.0002716894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8912337,0.106962,0.00008042914,0.000411198,0.00004704417,0.0006737654,0.00005947777,0.00003685923,0.0004954926],"genre_scores_gemma":[0.961437,0.03778939,0.0004864298,0.00009626369,0.00001055227,0.00003585636,0.00006164706,0.00003771758,0.00004509619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07234314,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214759128715914,"score_gpt":0.2449732775069394,"score_spread":0.2328256862197803,"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."}}