{"id":"W4386031627","doi":"10.2166/washdev.2023.249","title":"Impacts of hydration and dehydration on microfiltration point-of-use filters: performance and cleaning impacts","year":2023,"lang":"en","type":"article","venue":"Journal of Water Sanitation and Hygiene for Development","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backwashing; Microfiltration; Volumetric flow rate; Pulp and paper industry; Chemistry; Filtration (mathematics); Chromatography; Filter (signal processing); Dehydration; Environmental engineering; Environmental science; Membrane; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003773365,0.000294347,0.0002989814,0.0002073935,0.000228724,0.00043723,0.0002483863,0.0003150108,0.001063855],"category_scores_gemma":[0.0008514447,0.0001509207,0.0003071384,0.000192575,0.0002350656,0.0004126227,0.0002778902,0.0003940698,0.0001971517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639158,"about_ca_system_score_gemma":0.000169295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468604,"about_ca_topic_score_gemma":0.002151301,"domain_scores_codex":[0.9996189,0.00005371878,0.0000278253,0.00005728449,0.0001874877,0.00005472023],"domain_scores_gemma":[0.9996195,0.0001028761,0.00009197409,0.00003137164,0.0001258575,0.00002843204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000883787,0.00002423469,0.0008556345,0.00006794453,0.00001055692,0.00002745039,0.00004261416,0.0001408501,0.9963655,0.00001091898,0.00001991177,0.002345916],"study_design_scores_gemma":[0.000002517017,0.000352881,0.0132395,0.000006756644,0.00001712625,0.00008126756,0.00008243037,0.0003561078,0.98514,0.000007791436,0.0007045175,0.000009152887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979051,0.0004305427,0.0009930716,0.00002652115,0.000008770436,0.00002075017,0.0001076818,0.00002914618,0.000478337],"genre_scores_gemma":[0.9961361,0.0004693991,0.002159909,0.00003600496,0.000005314039,0.00001867679,0.0001822384,0.00001942998,0.0009728466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468604,"threshold_uncertainty_score":0.003558934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474592527664821,"score_gpt":0.2525249357582729,"score_spread":0.2277790104816247,"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."}}