{"id":"W3136833038","doi":"10.1007/s00330-021-07851-8","title":"Long-term inter-platform reproducibility, bias, and linearity of commercial PDFF MRI methods for fat quantification: a multi-center, multi-vendor phantom study","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Reproducibility; Imaging phantom; Medicine; Coefficient of variation; Nuclear medicine; Linearity; Biomedical engineering; Statistics; Mathematics","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":[0.001705851,0.0001819271,0.0005390241,0.00007494986,0.00009795288,0.00001179279,0.0001692655,0.00006188588,0.00002073656],"category_scores_gemma":[0.000967446,0.000162631,0.0001186714,0.0001580173,0.000217272,0.00005324994,0.000220761,0.0002322398,0.000005548634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003403255,"about_ca_system_score_gemma":0.00003090297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137172,"about_ca_topic_score_gemma":0.00004224325,"domain_scores_codex":[0.9976783,0.0004699631,0.0006250325,0.0009541595,0.00005595862,0.0002165574],"domain_scores_gemma":[0.9977744,0.0002606775,0.0002345357,0.001353322,0.0002753799,0.0001016739],"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":[0.001054935,0.01577033,0.4275268,0.0005108924,0.000317943,0.0001622214,0.002753435,0.000009822725,0.1115433,0.0009162764,0.001611434,0.4378226],"study_design_scores_gemma":[0.0188111,0.002600493,0.8599483,0.0001961733,0.0004668004,0.001116264,0.0007145833,0.004107292,0.08087529,0.0001406271,0.03043241,0.0005906068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2728706,0.0005060947,0.7243842,0.0004718123,0.0001831195,0.001353474,0.00005397061,0.00009470822,0.00008200107],"genre_scores_gemma":[0.5653116,0.0002256739,0.433374,0.000165208,0.0001842439,0.00006196426,0.0001966794,0.00003718957,0.0004434272],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.437232,"threshold_uncertainty_score":0.6631899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2388250340400172,"score_gpt":0.4782022478878024,"score_spread":0.2393772138477851,"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."}}