{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001925033,0.0002188651,0.0003711438,0.0004524598,0.00006254965,0.0001271152,0.0002584108,0.00007399044,0.009298926],"category_scores_gemma":[0.0000588957,0.0001398251,0.0005417483,0.0001675654,0.00005342384,0.0001593789,0.0001430008,0.0001333629,0.005196559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469832,"about_ca_system_score_gemma":0.00002000796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004681589,"about_ca_topic_score_gemma":0.00001023269,"domain_scores_codex":[0.9979743,0.00004411291,0.0004003975,0.000436639,0.0008463479,0.0002982284],"domain_scores_gemma":[0.9991049,0.00003810866,0.00007694295,0.0003770009,0.0001837108,0.0002193081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001287049,0.005884293,0.04366623,0.0002393324,0.01816623,0.0006041251,0.004648968,0.000544234,0.0610959,0.02017816,0.1610053,0.6826802],"study_design_scores_gemma":[0.01904036,0.001283095,0.361253,0.00070185,0.009298293,0.00009069794,0.001207432,0.03509003,0.147422,0.05525236,0.3659412,0.003419737],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7089095,0.00005991758,0.001673007,0.0499392,0.0007630201,0.0006909872,0.00001866182,0.0001907878,0.237755],"genre_scores_gemma":[0.9845895,0.00003060164,0.0003585665,0.003006134,0.0007630215,0.0001563381,0.0002315922,0.000026867,0.01083734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6792604,"threshold_uncertainty_score":0.995578,"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."}}