{"id":"W2083748583","doi":"10.1159/000167870","title":"The Impact of Prior Multidisciplinary Predialysis Care on Mineral Metabolic Control among Chronic Hemodialysis Patients","year":2008,"lang":"en","type":"article","venue":"Nephron Clinical Practice","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Amgen","keywords":"Medicine; Hemodialysis; Intensive care medicine; Kidney disease; Internal medicine; Multidisciplinary approach; Nephrology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006229102,0.0001442548,0.0002379692,0.0003724094,0.0004385046,0.0005657929,0.0002301093,0.0003455422,0.001450767],"category_scores_gemma":[0.003564898,0.0001570774,0.0002881918,0.000444324,0.0001950996,0.000325478,0.0004167387,0.0005200127,0.00007870876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216999,"about_ca_system_score_gemma":0.0003781814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005570466,"about_ca_topic_score_gemma":0.008899015,"domain_scores_codex":[0.9995052,0.000151906,0.00005415801,0.00008560911,0.00008845687,0.0001146749],"domain_scores_gemma":[0.9969663,0.0006650939,0.00149205,0.0001170509,0.0001702901,0.0005892574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001096079,0.00004400935,0.9986607,0.000003969312,0.00002280394,0.00002703765,0.00002610753,0.00002144732,0.00006184777,0.000004619609,0.00002386143,0.0009940667],"study_design_scores_gemma":[0.000004332038,0.00008746015,0.9996069,0.000002740763,0.00001345766,0.0001078001,0.000040714,0.00007445469,0.00002370932,0.000006305081,0.00003082829,0.000001255062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995682,0.0001802688,0.00001487838,0.0000437862,0.00000221789,0.000002053371,0.00005523266,7.879621e-7,0.0001326145],"genre_scores_gemma":[0.9998502,0.00003704578,0.00001876077,0.00001469871,0.000004923795,0.000001615826,0.00004779299,2.467249e-7,0.00002477577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005570466,"threshold_uncertainty_score":0.01107609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420422653580864,"score_gpt":0.3722677560638641,"score_spread":0.3480635295280554,"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."}}