{"id":"W4387251421","doi":"10.1109/cibcb56990.2023.10264886","title":"Explaining Body Composition After Bariatric Surgery using Accelerometry","year":2023,"lang":"en","type":"article","venue":"","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; St. Francis Xavier University","funders":"","keywords":"Obesity; Weight loss; Medicine; Psychological intervention; Socioeconomic status; Multivariate statistics; Multivariate analysis; Surgery; Physical therapy; Internal medicine; Environmental health; Computer science; Population","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":[0.0003958111,0.0003541391,0.0002719012,0.0006176785,0.0001430052,0.0003360063,0.0001594773,0.0002381336,0.000815692],"category_scores_gemma":[0.001586688,0.0001070786,0.000362021,0.0006253747,0.00008583016,0.0001536686,0.0002058056,0.0002734428,0.000160182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242526,"about_ca_system_score_gemma":0.0002653605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120008,"about_ca_topic_score_gemma":0.0160081,"domain_scores_codex":[0.9998926,0.00004066346,0.000009179777,0.00002367057,0.00001831092,0.0000155221],"domain_scores_gemma":[0.9997508,0.0001193851,0.00007023332,0.0000177429,0.0000264348,0.00001538017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002439486,0.0002292793,0.9277154,0.00006207535,0.000280827,0.0001180514,0.0001370484,0.01886169,0.004673114,0.0001589628,0.0002865721,0.04723317],"study_design_scores_gemma":[0.00001176903,0.0001747271,0.898753,0.00002254078,0.00007122913,0.00006929351,0.0001871132,0.09938641,0.0005975533,0.0003341234,0.0003821791,0.00001014536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876652,0.0002420757,0.01101866,0.0001015505,0.00002320074,0.00003070883,0.0004989251,0.00007084852,0.0003488756],"genre_scores_gemma":[0.9941596,0.0002172106,0.004780841,0.00001053735,0.00001149796,0.00001953886,0.0005307862,0.000006140205,0.0002638793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120008,"threshold_uncertainty_score":0.02226979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05520759740068603,"score_gpt":0.3021055776551641,"score_spread":0.2468979802544781,"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."}}