{"id":"W7082663975","doi":"10.2139/ssrn.5508586","title":"Practical Energy-Efficient Reverse Osmosis: Experimental and Modeling Investigation for High-Temperature Water Treatment","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reverse osmosis; Desalination; Osmotic power; Membrane; Water treatment; Produced water; Energy recovery; Brackish water; Energy consumption; Low-temperature thermal desalination","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":[0.0003646935,0.0003166862,0.0006601983,0.000182308,0.0003870588,0.0006868708,0.0007813199,0.000776451,0.002023476],"category_scores_gemma":[0.0007203038,0.000226332,0.000392205,0.0004880223,0.0003726324,0.001083104,0.0002836042,0.0006879997,0.0003673855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008403731,"about_ca_system_score_gemma":0.0007443257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004698277,"about_ca_topic_score_gemma":0.004872208,"domain_scores_codex":[0.9998287,0.00002177659,0.000008193133,0.00004239325,0.00007025675,0.0000286199],"domain_scores_gemma":[0.9997333,0.0001047682,0.00002524235,0.00004342309,0.00008345701,0.000009798651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001397984,0.0009444001,0.00424243,0.001163928,0.00005665374,0.0002839584,0.0001797255,0.4339291,0.5251051,0.004616748,0.001423461,0.02665659],"study_design_scores_gemma":[0.0001132649,0.000934118,0.00211441,0.00001198034,0.00003438739,0.00005716147,0.00008790311,0.6525494,0.3413847,0.001055945,0.001628523,0.00002821942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736208,0.0004912155,0.02145338,0.0002272834,0.00003490111,0.00006065271,0.0004666487,0.0001512833,0.003493751],"genre_scores_gemma":[0.9947565,0.0002681524,0.004075896,0.000008693476,0.000002733284,0.00002726636,0.0001036897,0.00001358915,0.0007435819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004698277,"threshold_uncertainty_score":0.009341836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141783696833401,"score_gpt":0.2677485871961824,"score_spread":0.2463307502278484,"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."}}