{"id":"W3005777537","doi":"10.1093/schbul/sbaa004","title":"Opposing Changes in the Functional Architecture of Large-Scale Networks in Bipolar Mania and Depression","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Mania; Default mode network; Functional magnetic resonance imaging; Bipolar disorder; Neuroscience; Psychology; Resting state fMRI; Prefrontal cortex; Functional connectivity; Audiology; Medicine; Cognition","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":[0.0001992048,0.0001351963,0.00008792178,0.0004072251,0.00009211503,0.0002154139,0.0000909068,0.0001206427,0.0008573426],"category_scores_gemma":[0.0006894814,0.0001055164,0.00009304792,0.0002149482,0.00019928,0.0001617272,0.0001828135,0.00008626307,0.00006312021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417678,"about_ca_system_score_gemma":0.00006423704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068775,"about_ca_topic_score_gemma":0.002505296,"domain_scores_codex":[0.9999385,0.00001624092,0.000005808782,0.00001818548,0.000009406455,0.00001186509],"domain_scores_gemma":[0.9997988,0.00005240107,0.00008944462,0.00001273147,0.0000186434,0.00002801565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003308556,0.0001394314,0.7341988,0.0002797939,0.0006156569,0.0007820682,0.001322988,0.002588376,0.2080099,0.0009255804,0.0004862951,0.04734268],"study_design_scores_gemma":[0.00001298718,0.00007735438,0.9976684,0.000005407501,0.0000237268,0.0002699702,0.00008394945,0.0007113696,0.0007542346,0.0003153181,0.00007461708,0.000002665185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985458,0.0002903849,0.0006105151,0.00002001587,0.000002232922,0.000005802247,0.00006671104,0.000006009052,0.0004526036],"genre_scores_gemma":[0.9996563,0.00005583783,0.0001685337,0.000004500386,0.000002766696,0.00000325262,0.00004962026,9.928978e-7,0.00005811035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001068775,"threshold_uncertainty_score":0.002868116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236578117002945,"score_gpt":0.2277724605036007,"score_spread":0.2154066793335712,"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."}}