{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004661661,0.0006628509,0.000672241,0.002275137,0.0008393824,0.001535803,0.0007167452,0.0003636807,0.0009833275],"category_scores_gemma":[0.009790789,0.0002454097,0.001527806,0.001636766,0.0007175123,0.0004765595,0.001287897,0.0005759411,0.0001595665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007562577,"about_ca_system_score_gemma":0.001090863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009260319,"about_ca_topic_score_gemma":0.005887032,"domain_scores_codex":[0.998027,0.001086621,0.0001058656,0.0004939088,0.0001457403,0.0001407739],"domain_scores_gemma":[0.9967611,0.001774295,0.0004663254,0.0004627421,0.0003617821,0.0001737015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001710719,0.0003423955,0.8939894,0.0002040737,0.002546296,0.0003922135,0.002591308,0.0169404,0.009388435,0.002385929,0.002194763,0.06731401],"study_design_scores_gemma":[0.0002291377,0.0005141909,0.8336086,0.00006683307,0.0007263637,0.0003782421,0.002513321,0.1509899,0.001149488,0.008601905,0.001123726,0.00009823872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585452,0.0002262496,0.03969095,0.0001854306,0.00001681807,0.0002690381,0.0006051504,0.0001084735,0.0003526581],"genre_scores_gemma":[0.9823802,0.00004386057,0.0163227,0.00001867082,0.00001389826,0.0001287953,0.0009655249,0.00002427534,0.0001021472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009260319,"threshold_uncertainty_score":0.02465355,"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."}}