{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02106084,0.0009847352,0.0008292482,0.0008405261,0.0009814958,0.00194145,0.001261484,0.001498803,0.0007444063],"category_scores_gemma":[0.02822403,0.001126965,0.001027009,0.001067979,0.001285867,0.001172816,0.001107355,0.001251972,0.0006973024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102213,"about_ca_system_score_gemma":0.0009306738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110705,"about_ca_topic_score_gemma":0.003140599,"domain_scores_codex":[0.9865282,0.005088394,0.0007139416,0.003773252,0.003458788,0.0004373172],"domain_scores_gemma":[0.9695466,0.0139175,0.003198133,0.007664724,0.005280751,0.0003922722],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0228818,0.002188068,0.2332449,0.001203411,0.005723014,0.0005849067,0.005866203,0.0132177,0.5800195,0.001234563,0.002985989,0.1308499],"study_design_scores_gemma":[0.0006635308,0.01051992,0.5340987,0.0001558292,0.005979285,0.004614491,0.001188525,0.04372503,0.3837482,0.001564729,0.01320292,0.000538913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9088137,0.004933351,0.08259427,0.0002351907,0.0002776536,0.0002606894,0.0008296128,0.0006620943,0.001393352],"genre_scores_gemma":[0.9754876,0.0004729115,0.02101742,0.0003020422,0.00009224022,0.0002246902,0.0007886771,0.0005794888,0.001034964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9789392,"threshold_uncertainty_score":0.1113817,"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."}}