{"id":"W4210945196","doi":"10.1148/radiol.211238","title":"Functional Sodium MRI Helps to Measure Corticomedullary Sodium Content in Normal and Diseased Human Kidneys","year":2022,"lang":"en","type":"article","venue":"Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; London Health Sciences Centre; Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Intraclass correlation; Osmole; Urinary system; Urine osmolality; Urology; Kidney disease; Osmotic concentration; Sodium; Kidney; Magnetic resonance imaging; Internal medicine; Pathology; Radiology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003248268,0.0001555986,0.0003957113,0.0002126492,0.0001648375,0.000006948464,0.0001026145,0.00007334012,0.001970271],"category_scores_gemma":[0.00008659222,0.0001576335,0.00006954171,0.0001769763,0.0001161964,0.00002693886,0.0001520287,0.000358926,0.00002433605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000369118,"about_ca_system_score_gemma":0.0002151792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002192416,"about_ca_topic_score_gemma":0.0000863869,"domain_scores_codex":[0.9984415,0.0001925097,0.0003119939,0.0004022975,0.0002791139,0.0003725626],"domain_scores_gemma":[0.9991431,0.0001221027,0.00006160398,0.0002656087,0.0000540369,0.0003535857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001173889,0.0003172262,0.7879238,0.00006786871,0.00010242,0.0003083163,0.0002683087,0.0001256958,0.01091926,0.0005665253,0.197727,0.0004997728],"study_design_scores_gemma":[0.004398573,0.001103583,0.9342148,0.00002744815,0.00009773301,0.0004952839,0.0002966334,0.0001041239,0.0004193934,0.00009058567,0.05854317,0.0002086525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512704,0.001231327,0.0001157159,0.0446169,0.001048892,0.0007370368,0.0000783401,0.00006179641,0.0008396155],"genre_scores_gemma":[0.9877753,0.00007415593,0.0001177072,0.01036342,0.0003582588,0.0005354673,0.0001523492,0.00002452708,0.0005987623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.146291,"threshold_uncertainty_score":0.9989421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564267335251103,"score_gpt":0.2694328138766437,"score_spread":0.2237901405241327,"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."}}