{"id":"W1525946403","doi":"10.1111/hdi.12195","title":"Potassium kinetics during hemodialysis","year":2014,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Potassium and Related Disorders","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemodialysis; Hyperkalemia; Potassium; Medicine; Interquartile range; Internal medicine; Dialysis; Animal science; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001723693,0.0001977245,0.0003348868,0.0003801306,0.00008741975,0.00004440168,0.0002060127,0.0001698557,0.001310869],"category_scores_gemma":[0.0002756111,0.0001753358,0.0003447499,0.000291951,0.00008701082,0.00008861553,0.000078751,0.0002314862,0.0003874737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343905,"about_ca_system_score_gemma":0.00003383912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003059085,"about_ca_topic_score_gemma":0.000007923864,"domain_scores_codex":[0.9983295,0.00005000079,0.0003849734,0.0003703822,0.000581779,0.0002833292],"domain_scores_gemma":[0.9990654,0.0000630501,0.0001254485,0.0003673523,0.0001882526,0.0001905231],"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":[0.001959713,0.004990153,0.3905041,0.0003472718,0.007969843,0.000438121,0.001884802,0.00953043,0.4443631,0.009154651,0.02161139,0.1072464],"study_design_scores_gemma":[0.02664772,0.0004776406,0.5191493,0.0003231034,0.004029157,0.001078501,0.0004121087,0.1326497,0.121864,0.004761477,0.1863576,0.002249778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8789619,0.00008078581,0.003876008,0.003759193,0.0008272248,0.0001248936,0.00001169252,0.0001564471,0.1122018],"genre_scores_gemma":[0.9914138,0.0000756298,0.001582391,0.0007179738,0.0006840951,0.0000174916,0.0001662259,0.00003147433,0.005310882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3224992,"threshold_uncertainty_score":0.9996021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008096221762651663,"score_gpt":0.2431641331366417,"score_spread":0.23506791137399,"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."}}