{"id":"W2795249330","doi":"10.1002/lt.24965","title":"Can negligible hepatic steatosis determined by magnetic resonance imaging–proton density fat fraction obviate the need for liver biopsy in potential liver donors?","year":2017,"lang":"en","type":"article","venue":"Liver Transplantation","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto","funders":"","keywords":"Steatosis; Medicine; Magnetic resonance imaging; Liver biopsy; Fatty liver; Confidence interval; Receiver operating characteristic; Biopsy; Nuclear medicine; Histopathology; Radiology; Gastroenterology; Internal medicine; Pathology","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":[0.004803523,0.0003231452,0.0005738624,0.0008569231,0.0003151132,0.0007983476,0.0004560413,0.0005596043,0.0008094335],"category_scores_gemma":[0.01432091,0.0001954931,0.000319551,0.0005084588,0.0009347649,0.001066732,0.0005613003,0.0004205273,0.0004825587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154095,"about_ca_system_score_gemma":0.0002821468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003624176,"about_ca_topic_score_gemma":0.0008917833,"domain_scores_codex":[0.9982879,0.0008668118,0.0002282968,0.0001910339,0.0002941959,0.0001319054],"domain_scores_gemma":[0.9936552,0.003151197,0.002052883,0.00043524,0.0003968849,0.0003085102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005602528,0.00004294968,0.9830796,0.0000545272,0.0000364793,0.0006344472,0.0001108856,0.0002205071,0.0006474559,0.00008972816,0.0001073841,0.01441582],"study_design_scores_gemma":[0.00004295443,0.00180412,0.9705445,0.0001687621,0.0001845011,0.01507456,0.001891928,0.003981188,0.003571945,0.001134643,0.001545369,0.00005561755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996025,0.001362116,0.001625867,0.000205485,0.00003135357,0.00001923497,0.00005754096,0.00000914769,0.000664234],"genre_scores_gemma":[0.9987362,0.0002729316,0.0007852506,0.00006581271,0.00002809279,0.000007546303,0.00004785338,0.000002629116,0.00005367836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004803523,"threshold_uncertainty_score":0.02540374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010683599842162,"score_gpt":0.2460690739125585,"score_spread":0.2353854740703965,"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."}}