{"id":"W4386833052","doi":"10.3390/nu15184035","title":"Influence of Body Composition and Specific Anthropometric Parameters on SIBO Type","year":2023,"lang":"en","type":"article","venue":"Nutrients","topic":"Diet and metabolism studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Anthropometry; Composition (language); Medicine; Internal medicine","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":[0.0004142891,0.0002787173,0.000433898,0.0005379134,0.0003704901,0.0003965092,0.0001500584,0.0002738827,0.001560775],"category_scores_gemma":[0.001009218,0.0001944099,0.0003856647,0.0005849596,0.0002178016,0.0002042758,0.0003593723,0.0003449239,0.0001938025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153177,"about_ca_system_score_gemma":0.0001464103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137203,"about_ca_topic_score_gemma":0.00214384,"domain_scores_codex":[0.9997359,0.00007549028,0.00003609191,0.00006459853,0.00005030675,0.00003761719],"domain_scores_gemma":[0.9993519,0.000124905,0.0002743518,0.00005967265,0.00004981127,0.0001393945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003893833,0.00004783353,0.9974101,0.00001330393,0.00007522307,0.00008315951,0.00004492143,0.00001680236,0.0007624513,0.000009363202,0.00002222264,0.001125247],"study_design_scores_gemma":[0.000002324274,0.0001002894,0.9995083,0.000003506467,0.00002079855,0.0001292431,0.00006132047,0.00004876335,0.00006314733,0.000009665025,0.00005127638,0.000001406102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990165,0.0003096348,0.00009747292,0.00001328826,0.000006618645,0.000006243197,0.0001252069,0.000001840615,0.0004231156],"genre_scores_gemma":[0.9995327,0.00008360667,0.00007266887,0.00001060127,0.000005161166,0.000006301024,0.0001300271,0.000001796628,0.0001571457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001560775,"threshold_uncertainty_score":0.005221307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010945205992259,"score_gpt":0.3049838308819551,"score_spread":0.2748743788220325,"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."}}