{"id":"W1480041521","doi":"10.1111/hdi.12117","title":"Toward green dialysis: Focus on water savings","year":2013,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reuse; Effluent; Medicine; Sanitation; Hemodialysis; Dialysis; Home hemodialysis; Authorization; Investment (military); Production (economics); Reverse osmosis; Bathing; Operations management; Waste management; Environmental science; Environmental engineering; Surgery; Engineering; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002049537,0.0006532537,0.0004549178,0.0009665944,0.0006460462,0.003599975,0.0009725888,0.002527542,0.007301195],"category_scores_gemma":[0.00161825,0.0001513487,0.0005113834,0.001372023,0.00167595,0.004543756,0.003375385,0.0015195,0.001338572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202274,"about_ca_system_score_gemma":0.003496407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276973,"about_ca_topic_score_gemma":0.002228416,"domain_scores_codex":[0.9982746,0.0005505673,0.0000382161,0.0002117941,0.0006365599,0.0002883137],"domain_scores_gemma":[0.9990011,0.0003054439,0.00009525972,0.0001112035,0.0003153974,0.0001716642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000485715,0.0006100652,0.004010597,0.001589409,0.0001072669,0.0003867182,0.001214545,0.007605219,0.02248676,0.4764252,0.03849436,0.4465842],"study_design_scores_gemma":[0.00006669818,0.000532672,0.006440981,0.0007403004,0.00006886412,0.000545475,0.004004116,0.007212181,0.02578445,0.2707515,0.6837927,0.00006012865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.201078,0.07758279,0.2024081,0.2350748,0.002692099,0.0004829825,0.0007334506,0.001213866,0.2787338],"genre_scores_gemma":[0.7326428,0.05362582,0.133469,0.02212582,0.001094489,0.000214443,0.0003665013,0.0002790621,0.05618195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007301195,"threshold_uncertainty_score":0.02442491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761139488937847,"score_gpt":0.2505180711521207,"score_spread":0.2329066762627422,"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."}}