{"id":"W4411321116","doi":"10.1111/hdi.13251","title":"Green Dialysis Review: Reducing Water, Energy, and Waste","year":2025,"lang":"en","type":"review","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Renewable energy; Carbon footprint; Dialysis; Hemodialysis; Waste management; Medicine; Environmental science; Business; Engineering; Greenhouse gas; Surgery; Ecology","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":[0.0009625435,0.001045544,0.001689502,0.002865938,0.0006066351,0.002733645,0.001224085,0.002147315,0.006065997],"category_scores_gemma":[0.002192325,0.0003471202,0.001085383,0.003761411,0.0007884755,0.002741346,0.001020987,0.002314272,0.001606386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112045,"about_ca_system_score_gemma":0.003306713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855682,"about_ca_topic_score_gemma":0.002282972,"domain_scores_codex":[0.999153,0.0001826802,0.0001172993,0.0001364451,0.0003332711,0.00007730963],"domain_scores_gemma":[0.9987016,0.0007214434,0.0001490742,0.00003260087,0.0003177946,0.00007749965],"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":[0.00008483494,0.0001182643,0.0002598884,0.09811368,0.0002631461,0.0001974847,0.0002799578,0.0007922525,0.001741499,0.01180062,0.09698013,0.7893683],"study_design_scores_gemma":[0.000008459385,0.00006101827,0.0004318378,0.01228777,0.0001568473,0.0004430142,0.000132483,0.0001083016,0.0004912099,0.002553752,0.9833056,0.00001964969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001487537,0.9968263,0.0002019153,0.0008642449,0.0007563941,0.000006187495,0.00002483562,0.00001128488,0.00116008],"genre_scores_gemma":[0.001047043,0.9971373,0.0002359255,0.0005743523,0.0004630432,0.000008367402,0.0000346263,0.000003837498,0.0004955123],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006065997,"threshold_uncertainty_score":0.02029276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172998934848008,"score_gpt":0.3097687356672364,"score_spread":0.2880387463187563,"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."}}