{"id":"W2024134467","doi":"10.1159/000188676","title":"Prediction of Reduction in Predialysis Concentrations due to Interdialysis Weight Gain","year":2008,"lang":"en","type":"article","venue":"The Nephron journals/Nephron journals","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Calgary; University of Alberta","funders":"","keywords":"Hemoglobin; Hemodialysis; Dialysis; Cholesterol; Internal medicine; Endocrinology; Medicine; Bilirubin; Weight gain; Ultrafiltration (renal); Weight loss; Hematocrit; Albumin; Lipoprotein; Dry weight; Animal science; Chemistry; Biochemistry; Body weight; Obesity; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002334199,0.0004428767,0.001198749,0.001534074,0.0004705752,0.0001273659,0.0004266535,0.0001974916,0.002359984],"category_scores_gemma":[0.0002085124,0.0003176744,0.0009058678,0.002310273,0.0002596342,0.0004929084,0.0001363333,0.0007683554,0.00009478594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005519638,"about_ca_system_score_gemma":0.0003553647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000105402,"about_ca_topic_score_gemma":0.00009052367,"domain_scores_codex":[0.9942611,0.0007258309,0.002246317,0.0005380089,0.001537023,0.0006916737],"domain_scores_gemma":[0.9967242,0.0001371409,0.0009919414,0.0007914501,0.000645615,0.0007096084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004904612,0.007184315,0.06572719,0.0004842675,0.0106406,0.002050195,0.02954196,0.05373047,0.4207973,0.0003187452,0.2959967,0.1086236],"study_design_scores_gemma":[0.01372784,0.002324536,0.8318188,0.004191668,0.008322782,0.005823318,0.007790195,0.01406202,0.02217134,0.001550053,0.08666461,0.001552816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564756,0.004936792,0.01874638,0.01304816,0.001201386,0.001615879,0.00009802607,0.00008445391,0.003793299],"genre_scores_gemma":[0.9912496,0.004006714,0.00064624,0.0008762782,0.001779593,0.00008730243,0.00004356165,0.00005752784,0.001253174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7660916,"threshold_uncertainty_score":0.9999275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325320998354143,"score_gpt":0.2813978493277589,"score_spread":0.2481446393442175,"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."}}