{"id":"W2397951653","doi":"10.2215/cjn.10100915","title":"Predicting Risk in Peritoneal Dialysis","year":2015,"lang":"en","type":"letter","venue":"Clinical Journal of the American Society of Nephrology","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Peritoneal dialysis; Ultrafiltration (renal); Medicine; Creatinine; Dwell time; Dialysis; Hemodialysis; Urology; Membrane; Body fluid; Fluid compartments; Renal function; Chromatography; Surgery; Internal medicine; Extracellular fluid; Chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001324744,0.0005291122,0.0006138921,0.001310329,0.0006604182,0.001225113,0.0007799345,0.00112044,0.004122723],"category_scores_gemma":[0.007557695,0.0002166766,0.0009767053,0.001390833,0.000229095,0.001116108,0.0008642191,0.001976765,0.0007936322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004071626,"about_ca_system_score_gemma":0.0005767368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003760251,"about_ca_topic_score_gemma":0.002501889,"domain_scores_codex":[0.9990475,0.0003080682,0.0001206044,0.000169325,0.0002316267,0.0001228179],"domain_scores_gemma":[0.9979188,0.0005873708,0.0005757161,0.0001395961,0.0002990852,0.0004793848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000116013,0.00009914859,0.9902577,0.00004865642,0.0001044722,0.0001152113,0.00004558602,0.0002139742,0.00003454248,0.000183514,0.002007739,0.006773487],"study_design_scores_gemma":[0.00003408891,0.0003447803,0.9839679,0.0002689117,0.000306355,0.001604493,0.000567796,0.005576846,0.0001554982,0.003168584,0.003963091,0.00004167033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617635,0.009888416,0.00256241,0.004813274,0.0006107311,0.0001498065,0.006908493,0.0001090118,0.01319438],"genre_scores_gemma":[0.9930505,0.002220931,0.001113262,0.0004114325,0.0003351805,0.00005703043,0.002122258,0.00001232086,0.0006772496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004122723,"threshold_uncertainty_score":0.01379192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04118449619390742,"score_gpt":0.3516716073653141,"score_spread":0.3104871111714067,"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."}}