{"id":"W2794631921","doi":"10.1093/schbul/sby016.298","title":"T22. PITUITARY GLAND VOLUME DIFFERENCES IN INDIVIDUALS WITH PSYCHOSIS: RESULTS FROM THE BIPOLAR-SCHIZOPHRENIA NETWORK ON INTERMEDIATE PHENOTYPES (B-SNIP) STUDY","year":2018,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Psychosis; Bipolar disorder; Pituitary gland; Schizoaffective disorder; Schizophrenia (object-oriented programming); Internal medicine; Psychology; Biomarker; Magnetic resonance imaging; Endocrinology; Brain size; Medicine; Mood; Psychiatry; Biology; Hormone; Radiology","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":[0.0006592118,0.000472408,0.0003608908,0.0004884816,0.0007866773,0.000654039,0.0003743726,0.0004502658,0.003002851],"category_scores_gemma":[0.001988817,0.0002746258,0.0007429718,0.0006597636,0.0003422686,0.0003085277,0.0008471874,0.0005350704,0.0003345547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034106,"about_ca_system_score_gemma":0.0003270501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618459,"about_ca_topic_score_gemma":0.01849792,"domain_scores_codex":[0.9995788,0.0001086059,0.0000433793,0.0001455276,0.00007519814,0.00004847994],"domain_scores_gemma":[0.9991473,0.0001094746,0.0003816955,0.0000973375,0.0000954236,0.0001687777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003106477,0.00007814424,0.9842174,0.00009211514,0.0006857586,0.0005950169,0.0008088869,0.0001136714,0.003846812,0.0001320086,0.0009589633,0.005364737],"study_design_scores_gemma":[0.0000246305,0.0001019004,0.9989911,0.000008105701,0.00007889956,0.0002134748,0.0001570875,0.00007193224,0.00007700911,0.00006112874,0.0002102673,0.000004410887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972931,0.0001706586,0.0002332473,0.00006176125,0.000014024,0.00002876833,0.001568601,0.0000099459,0.0006198994],"genre_scores_gemma":[0.9982281,0.00004815702,0.0001835243,0.00003978416,0.000007873949,0.00003363788,0.001082218,0.00001221873,0.0003644977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01618459,"threshold_uncertainty_score":0.03218079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370045066561701,"score_gpt":0.2394619795226078,"score_spread":0.2257615288569908,"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."}}