{"id":"W2077646848","doi":"10.1002/jmri.22603","title":"Evaluation of adipose tissue volume quantification with IDEAL fat–water separation","year":2011,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Body Contouring and Surgery","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; University of Ottawa; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; Canadian Institutes of Health Research; Ontario Genomics; Ontario Genomics Institute; Heart and Stroke Foundation of Canada","keywords":"Adipose tissue; Subcutaneous adipose tissue; Abdomen; Medicine; Soft tissue; Anatomy; Nuclear medicine; Internal medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002118929,0.000096178,0.0002551674,0.0001717858,0.00003642737,0.00001574545,0.00006790187,0.00003098444,0.0003035493],"category_scores_gemma":[0.0001465628,0.00006509067,0.00005710026,0.00009929605,0.00007001566,0.0002307848,0.000008573156,0.000145461,0.00001276112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006218219,"about_ca_system_score_gemma":0.0001706345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006365288,"about_ca_topic_score_gemma":0.00000659791,"domain_scores_codex":[0.9982551,0.0001305193,0.0005238697,0.0001198118,0.0008141935,0.0001564723],"domain_scores_gemma":[0.9980491,0.0000238896,0.0003143834,0.0001907685,0.001352442,0.0000694315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008353911,0.000214551,0.09798365,0.00006584721,0.00003484301,0.00009318504,0.002439271,0.00005452665,0.1222657,0.0000394541,0.002621189,0.7733524],"study_design_scores_gemma":[0.003523736,0.001146051,0.8393157,0.0009403063,0.001020496,0.0006887655,0.0003233538,0.01785553,0.1223394,0.0004548434,0.01217145,0.0002203578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820074,0.01206954,0.002066637,0.0006229153,0.0002118415,0.000220182,9.393634e-7,0.00001056704,0.002789958],"genre_scores_gemma":[0.9959122,0.00006803865,0.003206352,0.0000415074,0.0002339755,0.000004465232,0.000002321512,0.00001428629,0.0005168326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.773132,"threshold_uncertainty_score":0.3323652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03941129656094752,"score_gpt":0.3039341557684778,"score_spread":0.2645228592075303,"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."}}