{"id":"W2789626478","doi":"10.1016/j.healun.2018.02.004","title":"Hydrostatic pressure gradient ultrafiltration device: A novel approach for extracellular fluid removal","year":2018,"lang":"en","type":"letter","venue":"The Journal of Heart and Lung Transplantation","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Ultrafiltration (renal); Hydrostatic pressure; Extracellular fluid; Hydrostatic equilibrium; Pressure gradient; Extracellular; Chromatography; Materials science; Chemistry; Biomedical engineering; Mechanics; Medicine; Physics; Biochemistry","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":[0.0004157028,0.0003199189,0.0004408649,0.0002478264,0.0005557069,0.0008246566,0.0005266648,0.004100681,0.0006114671],"category_scores_gemma":[0.0008669164,0.0001297612,0.0005150764,0.000125101,0.0007727974,0.001199304,0.0003963959,0.003397118,0.0005982741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00033583,"about_ca_system_score_gemma":0.0002650197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008216756,"about_ca_topic_score_gemma":0.0003056713,"domain_scores_codex":[0.9996988,0.00005557309,0.00003049839,0.00004960779,0.0001253578,0.00004026237],"domain_scores_gemma":[0.9997507,0.0001296613,0.00003002027,0.00002133302,0.00002596628,0.00004230817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001390707,0.0008306325,0.006159345,0.001202937,0.0002158972,0.2426148,0.0008288303,0.0004962637,0.133174,0.02481881,0.2220511,0.3662168],"study_design_scores_gemma":[0.0005493517,0.001613443,0.004800668,0.0001350595,0.0001766485,0.4474045,0.0003498959,0.005700498,0.07526088,0.01475896,0.4491059,0.0001442148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2078443,0.1150549,0.0900984,0.4792213,0.06437882,0.0002927436,0.0002029505,0.0008086657,0.04209804],"genre_scores_gemma":[0.6746392,0.03538842,0.06350217,0.147814,0.04993859,0.000288545,0.0001398867,0.00009615109,0.02819302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004100681,"threshold_uncertainty_score":0.002436638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797493520263441,"score_gpt":0.2312742610226824,"score_spread":0.213299325820048,"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."}}