{"id":"W2952793183","doi":"10.1101/678284","title":"Neuroanatomical Changes in White and Grey Matter after Sleeve Gastrectomy","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Canadian Institutes of Health Research; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval","keywords":"White matter; Sleeve gastrectomy; Medicine; Waist; Corpus callosum; Internal medicine; Circumference; Endocrinology; Nuclear medicine; Body mass index; Magnetic resonance imaging; Pathology; Weight loss; Obesity; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002393692,0.0002065054,0.0003490928,0.0004054271,0.0001467387,0.0002774484,0.0001366035,0.0002088076,0.001298294],"category_scores_gemma":[0.0004105722,0.0001342037,0.0002557654,0.0002087443,0.0002280548,0.0001895129,0.0002489796,0.0002777141,0.0001337902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913808,"about_ca_system_score_gemma":0.0001354114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741232,"about_ca_topic_score_gemma":0.00200224,"domain_scores_codex":[0.9999368,0.0000103389,0.000004485693,0.0000207624,0.00001085313,0.00001669566],"domain_scores_gemma":[0.9997597,0.00003649887,0.000105456,0.00001535051,0.00002721144,0.00005574039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02518913,0.0008817847,0.7853609,0.0002758705,0.0006751326,0.003343028,0.0007356866,0.0009401757,0.1486654,0.00008829636,0.0004051326,0.03343945],"study_design_scores_gemma":[0.00001528195,0.0008232736,0.9967367,0.000005727612,0.000033991,0.0004169069,0.0000973234,0.0002309949,0.001521648,0.00002263995,0.00009042706,0.000005030252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996673,0.0001098352,0.00006569282,0.000007552992,0.000002285445,0.000003223145,0.00006301077,0.000003717406,0.00007746828],"genre_scores_gemma":[0.9991797,0.00007418441,0.00012405,0.00001164002,0.000004444226,0.000009840804,0.0002106269,0.000002577361,0.0003829279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001741232,"threshold_uncertainty_score":0.004343271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009896677760378095,"score_gpt":0.2147779002654796,"score_spread":0.2048812225051015,"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."}}