{"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 œNephron 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358965,0.0007812738,0.0007696098,0.0008150933,0.0001325941,0.0007375916,0.0004152888,0.0007454338,0.000348378],"category_scores_gemma":[0.005301958,0.0003183675,0.0004424755,0.0004623735,0.0002072739,0.0003898985,0.0003967454,0.0009342778,0.0003112971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423514,"about_ca_system_score_gemma":0.0002975057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002378603,"about_ca_topic_score_gemma":0.00167212,"domain_scores_codex":[0.9993927,0.0001891575,0.00004119351,0.000146935,0.0001821259,0.00004776671],"domain_scores_gemma":[0.9968528,0.001745981,0.0006930359,0.0001612949,0.0003693133,0.0001774978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003845435,0.0002717888,0.8966954,0.0001063122,0.0002750946,0.0001890676,0.0001530748,0.01764688,0.02376362,0.0001527211,0.0005505007,0.05635009],"study_design_scores_gemma":[0.00006195305,0.001137675,0.8177196,0.00001702028,0.0001333328,0.0003570981,0.0000559776,0.1589178,0.02058225,0.000429305,0.0005455075,0.00004254163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779031,0.0006240368,0.02010497,0.00007250695,0.00002491343,0.00004083178,0.0003706287,0.0003665058,0.0004925702],"genre_scores_gemma":[0.9928589,0.0001895574,0.006132022,0.00003996151,0.00001240795,0.00002800898,0.0004389857,0.00003116869,0.0002690048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002378603,"threshold_uncertainty_score":0.007187009,"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."}}