{"id":"W3002302035","doi":"10.1093/ckj/sfz184","title":"Diagnostic accuracy of administrative codes for autosomal dominant polycystic kidney disease in clinic patients with cystic kidney disease","year":2019,"lang":"en","type":"article","venue":"Clinical Kidney Journal","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Western University","funders":"Ontario Ministry of Health and Long-Term Care; Kidney Foundation of Canada; Canadian Institutes of Health Research; Canadian Society of Nephrology","keywords":"Autosomal dominant polycystic kidney disease; Polycystic kidney disease; Medicine; Disease; Kidney disease; Cystic kidney disease; Kidney; Diagnosis code; Polycystic kidney; Internal medicine; Intensive care medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007861159,0.0005078992,0.0008233386,0.0001346338,0.0001441072,0.00007585531,0.0006329348,0.0002457144,0.0003217118],"category_scores_gemma":[0.0648267,0.0003994764,0.0006211195,0.0001888881,0.000467007,0.00003182551,0.0001780274,0.0004322273,0.0000544305],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004090499,"about_ca_system_score_gemma":0.007067275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004880254,"about_ca_topic_score_gemma":0.000001929169,"domain_scores_codex":[0.9956574,0.000482726,0.001737601,0.0008725954,0.0005035385,0.000746154],"domain_scores_gemma":[0.9900547,0.001471616,0.000998083,0.0008098219,0.000504142,0.006161653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01775779,0.002730789,0.9505111,0.0004334575,0.0002762253,0.00007820023,0.00003257616,0.00004138569,0.001100523,0.00002386362,0.02666545,0.0003486464],"study_design_scores_gemma":[0.01874105,0.004611935,0.9557615,0.001557012,0.00076406,0.00001264595,0.00007211869,0.0002912332,0.000735944,0.000828706,0.0157838,0.0008399765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903969,0.0004431928,0.001400391,0.001291948,0.001219263,0.001719226,0.003390913,0.0000134662,0.0001246815],"genre_scores_gemma":[0.9928442,0.0002980101,0.0009726434,0.003377728,0.0005563776,0.0001038441,0.001277288,0.00007673167,0.0004931618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06404059,"threshold_uncertainty_score":0.9998457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204305920665098,"score_gpt":0.3307147606364654,"score_spread":0.3102841685699557,"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."}}