{"id":"W2911072514","doi":"10.1002/jmri.26627","title":"MRI in autosomal dominant polycystic kidney disease","year":2019,"lang":"en","type":"review","venue":"Journal of Magnetic Resonance Imaging","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Autosomal dominant polycystic kidney disease; Medicine; Magnetic resonance imaging; Biomarker; Radiology; Disease; Renal function; Imaging biomarker; Stage (stratigraphy); Kidney; Pathology; Internal medicine; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003748373,0.0005082583,0.001288396,0.0003017433,0.00004124261,0.00007093418,0.0007062085,0.0001597846,0.0000800882],"category_scores_gemma":[0.0005789598,0.0004112942,0.0007781969,0.000217729,0.0001271529,0.00001035567,0.0001992414,0.0003962096,0.00003839659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007000641,"about_ca_system_score_gemma":0.00264885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005558352,"about_ca_topic_score_gemma":7.729902e-7,"domain_scores_codex":[0.997101,0.0002483625,0.00122322,0.000494717,0.0004089352,0.0005237318],"domain_scores_gemma":[0.9978296,0.00004967927,0.0007664153,0.0006012089,0.0001266287,0.0006264278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003152989,0.0002331108,0.001186245,0.006327856,0.00004512927,0.0006406751,0.00001932157,0.00001098707,0.0003042014,0.000005902201,0.0285685,0.9623428],"study_design_scores_gemma":[0.0009954978,0.0001800515,0.001611196,0.01107902,0.0005940837,0.0003332505,0.00001367672,0.00004234662,0.00001503106,0.00002920915,0.984662,0.0004446174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001373343,0.9979326,0.0001035544,0.0002320437,0.0007528174,0.0004348434,0.0001071434,0.000003513229,0.0002961584],"genre_scores_gemma":[0.0005373212,0.9964596,0.0005582811,0.0003059392,0.0006516385,0.00002242828,0.000055419,0.00008142326,0.00132794],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9618981,"threshold_uncertainty_score":0.9998339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217287023763527,"score_gpt":0.284837717042817,"score_spread":0.2726648468051818,"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."}}