{"id":"W3087918056","doi":"10.1002/jmri.27360","title":"Hemorrhagic Cysts and Other <scp>MR</scp> Biomarkers for Predicting Renal Dysfunction Progression in Autosomal Dominant Polycystic Kidney Disease","year":2020,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"National Center for Advancing Translational Sciences","keywords":"Medicine; Autosomal dominant polycystic kidney disease; Pathology; Disease; Kidney; Polycystic kidney disease; Internal medicine","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":[0.002764927,0.0004125642,0.0003994326,0.001227717,0.0002196975,0.000548917,0.0003620479,0.0003590096,0.0007414624],"category_scores_gemma":[0.005126204,0.0001994142,0.0004103448,0.0004136803,0.0003256034,0.0003858064,0.0004165263,0.0003489138,0.0001170424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894472,"about_ca_system_score_gemma":0.0005014404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520285,"about_ca_topic_score_gemma":0.002162409,"domain_scores_codex":[0.9993871,0.0003102895,0.00005464815,0.00008614227,0.000120905,0.00004073984],"domain_scores_gemma":[0.9962283,0.001627095,0.001098041,0.0002005367,0.0004254608,0.0004204882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003238437,0.00002102691,0.9971099,0.000009746077,0.0000411606,0.00005123458,0.00001060768,0.0001250491,0.0004032968,0.000009083338,0.00003779203,0.001857224],"study_design_scores_gemma":[0.00002871086,0.0002994829,0.9953899,0.00001262935,0.00009686868,0.0008048533,0.00003221514,0.002480384,0.0006722992,0.00005688688,0.000120683,0.000005164577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981954,0.0005613316,0.0006776069,0.00004840555,0.00000764034,0.00002695784,0.0002186391,0.00001326073,0.0002507927],"genre_scores_gemma":[0.9986117,0.00009036177,0.001022929,0.000009844368,0.00001433543,0.00001556941,0.0001598032,0.000002196605,0.00007337852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002764927,"threshold_uncertainty_score":0.01462251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007142851862731724,"score_gpt":0.2409625263985905,"score_spread":0.2338196745358588,"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."}}