{"id":"W2891727179","doi":"10.2215/cjn.02570218","title":"The Patient Receiving Automated Peritoneal Dialysis with Volume Overload","year":2018,"lang":"en","type":"article","venue":"Clinical Journal of the American Society of Nephrology","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; St. Michael's Hospital; McGill University Health Centre","funders":"Fresenius Medical Care North America","keywords":"Medicine; Hypervolemia; Intravascular volume status; Peritoneal dialysis; Peripheral edema; Volume overload; Furosemide; Body water; Edema; Renal function; Anesthesia; Hypovolemia; Blood volume; Urology; Cardiology; Internal medicine; Heart failure; Hemodynamics; Body weight","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":[0.0002844404,0.001201254,0.001232319,0.001199292,0.002860761,0.001400503,0.0007450212,0.003534005,0.004013086],"category_scores_gemma":[0.002613305,0.0005212938,0.0007615112,0.001303529,0.0007815653,0.001915434,0.001070159,0.003786504,0.0007782202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096768,"about_ca_system_score_gemma":0.001364632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002636217,"about_ca_topic_score_gemma":0.00342611,"domain_scores_codex":[0.9995064,0.00005138906,0.00006223102,0.0001265262,0.00008375337,0.0001698104],"domain_scores_gemma":[0.9991097,0.0002019452,0.0001440513,0.00003084197,0.00009454544,0.0004189565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0001173328,0.0001134499,0.03297997,0.00007634359,0.00001623893,0.9606724,0.0003687249,0.0001384297,0.0005886032,0.0004860485,0.001896778,0.00254562],"study_design_scores_gemma":[0.00002401715,0.0002000209,0.01055912,0.00007648702,0.00002073949,0.9855075,0.0003393275,0.0004504212,0.0002551151,0.0006359665,0.001907617,0.00002369796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036268,0.009482032,0.00471988,0.02828818,0.001682373,0.0005782987,0.001261797,0.0002830918,0.05007754],"genre_scores_gemma":[0.9862887,0.001922048,0.001365704,0.005606702,0.001728302,0.00005385327,0.0002950568,0.00003332378,0.002706377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004013086,"threshold_uncertainty_score":0.01342511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762117042280455,"score_gpt":0.3242518611729812,"score_spread":0.3066306907501766,"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."}}