{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008351294,0.0001542773,0.0001574584,0.00003202256,0.0000979316,0.00003252864,0.0001089837,0.0001185805,0.00004814698],"category_scores_gemma":[0.0000194504,0.0001248813,0.00003411721,0.00007614229,0.00005854824,0.000008402052,0.00002473881,0.000112003,0.00001142896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008444184,"about_ca_system_score_gemma":0.00002585043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002424373,"about_ca_topic_score_gemma":0.000009507547,"domain_scores_codex":[0.9990965,0.00003564061,0.0001388555,0.000292383,0.0001404869,0.0002961605],"domain_scores_gemma":[0.9995383,0.000002171905,0.00006446996,0.0002411259,0.00004335063,0.0001105721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0010553,0.00004998997,0.002807911,0.000005721163,0.00008354559,0.00001665229,0.0003207816,0.00007873273,0.9172342,0.0001170873,0.0007728257,0.07745719],"study_design_scores_gemma":[0.002558254,0.002333611,0.459892,0.00001467744,0.0001667853,0.00008000224,0.0002508962,0.0001849267,0.2686895,0.0001970472,0.2650458,0.0005865438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970995,0.0003011936,0.0007295738,0.00004532984,0.000338141,0.0001193491,0.000008164874,0.0000283228,0.00133044],"genre_scores_gemma":[0.9962716,0.0000180924,0.0009634851,0.0002573314,0.001929705,0.00001086209,0.00002437482,0.00001861468,0.0005059799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6485448,"threshold_uncertainty_score":0.509251,"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."}}