{"id":"W2094232816","doi":"10.1007/s00330-009-1351-4","title":"Noninvasive quantitation of human liver steatosis using magnetic resonance and bioassay methods","year":2009,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Saint-Luc; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Steatosis; Medicine; Magnetic resonance imaging; Neuroradiology; Nuclear medicine; Liver steatosis; Histopathology; Ultrasound; Fatty liver; In vivo magnetic resonance spectroscopy; Radiology; Pathology; Internal medicine; Neurology","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":[0.0002235122,0.0001009775,0.0002453357,0.00008384867,0.00006118511,0.000006391646,0.00003984495,0.0000279375,0.00004382215],"category_scores_gemma":[0.00005310736,0.00008398287,0.00005391625,0.00007628844,0.0001441508,0.00003054612,0.00001786706,0.00005251125,0.000009292698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002457061,"about_ca_system_score_gemma":0.00001772576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002768483,"about_ca_topic_score_gemma":0.00000122488,"domain_scores_codex":[0.9989408,0.0004775234,0.0001868378,0.0002148893,0.0000542147,0.0001257392],"domain_scores_gemma":[0.9995304,0.00009968232,0.00007395711,0.0001673788,0.00005372207,0.00007484249],"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":[0.0003616182,0.001314714,0.2960377,0.0001874323,0.0002808147,0.002332328,0.004289024,0.0000135931,0.310042,0.01350516,0.001212993,0.3704226],"study_design_scores_gemma":[0.001285276,0.001959921,0.9878137,0.0000925147,0.0002948944,0.0001906163,0.00007608502,0.0001539786,0.007369776,0.0000812365,0.0005912782,0.00009071634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978925,0.01802951,0.0002022648,0.0001199456,0.00003716119,0.0001865971,0.000005658243,0.00001566789,0.00247819],"genre_scores_gemma":[0.9854643,0.0006403228,0.0134612,0.0002823231,0.00005474617,0.000001513038,0.0000127157,0.00001218466,0.00007065267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.691776,"threshold_uncertainty_score":0.3424722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05028596876333306,"score_gpt":0.3493889146110121,"score_spread":0.299102945847679,"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."}}