{"id":"W2123246689","doi":"10.1016/j.metabol.2009.03.001","title":"Predicting abdominal adipose tissue among women with familial partial lipodystrophy","year":2009,"lang":"en","type":"article","venue":"Metabolism","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Bioelectrical impedance analysis; Adipose tissue; Waist; Medicine; Magnetic resonance imaging; Body mass index; Subcutaneous adipose tissue; Internal medicine; Nuclear medicine; Endocrinology; 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":[0.0004240217,0.000625434,0.0004100759,0.001317162,0.0005267757,0.0005997696,0.0003341891,0.0008135266,0.001098489],"category_scores_gemma":[0.002190648,0.0003441659,0.0004119934,0.0006993812,0.0004909718,0.0003604955,0.0003705867,0.0006138664,0.0002359713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000237212,"about_ca_system_score_gemma":0.0001879427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898499,"about_ca_topic_score_gemma":0.002571243,"domain_scores_codex":[0.9998069,0.00006433377,0.00002377557,0.00003439642,0.00003111838,0.00003946865],"domain_scores_gemma":[0.9992286,0.0003606179,0.0001614845,0.00004727499,0.00005189835,0.0001500618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001900144,0.0000112996,0.9976361,0.000003556052,0.00001196521,0.0005954342,0.00003364837,0.00007547101,0.0006516266,0.00001064575,0.00002395146,0.0007562808],"study_design_scores_gemma":[0.00001005004,0.0001568119,0.9920177,0.000007234229,0.00007371458,0.005539453,0.0003956111,0.0008701444,0.0006849453,0.00008540283,0.0001516293,0.000007343276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992045,0.0001412107,0.00009828691,0.00004609735,0.000005483828,0.000003111644,0.000071313,0.000004382843,0.0004257147],"genre_scores_gemma":[0.9996454,0.00006359041,0.00008099775,0.00001594925,0.000005816646,0.00000228191,0.00007211072,0.000001539018,0.000112256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002898499,"threshold_uncertainty_score":0.005763292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002984729632479958,"score_gpt":0.1966031705048863,"score_spread":0.1936184408724063,"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."}}