{"id":"W2084778838","doi":"10.1111/j.1524-4733.2008.00408.x","title":"Prevention and Management of Hyperphosphatemia with Sevelamer in Canada: Health and Economic Consequences","year":2008,"lang":"en","type":"article","venue":"Value in Health","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Sevelamer; Medicine; Hyperphosphatemia; Population; Cohort; End stage renal disease; Internal medicine; Kidney disease; Hemodialysis; Intensive care medicine; Environmental health","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":[0.0007744816,0.0001974486,0.0004097287,0.001151192,0.001555259,0.001104409,0.0009287242,0.0007427867,0.002874085],"category_scores_gemma":[0.002477379,0.0001617747,0.000571918,0.002551247,0.0007796074,0.0002550835,0.000584636,0.001303717,0.0001031102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02923989,"about_ca_system_score_gemma":0.09006903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9724664,"about_ca_topic_score_gemma":0.9877051,"domain_scores_codex":[0.998896,0.0001687811,0.00005573208,0.0000535707,0.0004800355,0.0003458948],"domain_scores_gemma":[0.9979778,0.0001929603,0.0002758983,0.00002475563,0.0005387633,0.0009897707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006431737,0.002691225,0.6146327,0.001133254,0.0005326093,0.002458763,0.0009011243,0.002195109,0.002220266,0.003197608,0.02002527,0.3435803],"study_design_scores_gemma":[0.001748742,0.0014288,0.963425,0.0008075416,0.000705794,0.001737329,0.00239655,0.003102883,0.001002213,0.0009697118,0.02260865,0.00006678516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109796,0.03209086,0.0004483314,0.0320933,0.0001772572,0.0002848507,0.002630129,0.00009611845,0.02119947],"genre_scores_gemma":[0.984775,0.009174967,0.000901391,0.001630975,0.00006666422,0.00002495125,0.0005862178,0.000008292805,0.002831512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02923989,"threshold_uncertainty_score":0.2121513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477023672075777,"score_gpt":0.2830222133734211,"score_spread":0.2482519766526633,"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."}}