{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005672784,0.000891241,0.001373101,0.003513545,0.0002434342,0.0008734555,0.0008177817,0.001353874,0.003163088],"category_scores_gemma":[0.001003297,0.0002671056,0.0005246974,0.002103661,0.0006839722,0.001255405,0.0007601593,0.001973193,0.002465693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277857,"about_ca_system_score_gemma":0.0007188435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008755298,"about_ca_topic_score_gemma":0.001346866,"domain_scores_codex":[0.999806,0.00003604381,0.00003853305,0.00003552252,0.00006822025,0.0000157786],"domain_scores_gemma":[0.9995073,0.0002466635,0.0000834957,0.00001621549,0.0001058671,0.00004039545],"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":[0.00005687139,0.0000366824,0.0003712448,0.01614109,0.00008227745,0.001027641,0.00005858203,0.0003468925,0.001105429,0.002721536,0.05585642,0.9221954],"study_design_scores_gemma":[0.0000146395,0.00005662192,0.001808692,0.00953527,0.0001347407,0.0165821,0.00006411003,0.00009914454,0.0003468649,0.003300254,0.9680319,0.00002577471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007783755,0.9984262,0.0001109868,0.0003198127,0.0002661972,0.000002155907,0.00001022069,0.00000727183,0.0007793664],"genre_scores_gemma":[0.0006807529,0.9979931,0.0001616768,0.0002792384,0.0004150641,0.000003248729,0.00002073678,0.000002166055,0.0004440935],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003513545,"threshold_uncertainty_score":0.01058161,"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."}}