{"id":"W2963091111","doi":"10.3390/membranes9070090","title":"Hybrid Hollow Fiber Nanofiltration–Calcite Contactor: A Novel Point-of-Entry Treatment for Removal of Dissolved Mn, Fe, NOM and Hardness from Domestic Groundwater Supplies","year":2019,"lang":"en","type":"article","venue":"Membranes","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Nanofiltration; Membrane; Manganese; Water treatment; Contactor; Chemistry; Reverse osmosis; Filtration (mathematics); Fouling; Chemical engineering; Calcite; Environmental engineering; Pulp and paper industry; Materials science; Metallurgy; Environmental science; Mineralogy; 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":[0.0001339706,0.0003100554,0.0003017966,0.0001712569,0.0002031858,0.0001886247,0.0003166608,0.0005114092,0.0004016508],"category_scores_gemma":[0.0001137288,0.00009924808,0.0003356269,0.000174709,0.0001583594,0.0003806616,0.0002318316,0.0002369068,0.0001445133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909076,"about_ca_system_score_gemma":0.0002455544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002256749,"about_ca_topic_score_gemma":0.004312832,"domain_scores_codex":[0.9998626,0.00000907029,0.000007784489,0.00003518081,0.00006298468,0.00002249174],"domain_scores_gemma":[0.9999419,0.000007889949,0.00001658708,0.000003410926,0.00001830667,0.00001187041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003496777,0.00001352325,0.0001316904,0.0000611984,0.000004782133,0.00004716993,0.00001457607,0.00008962221,0.9967551,0.00004207152,0.00004667603,0.002758695],"study_design_scores_gemma":[0.000007668655,0.0001517332,0.001546874,0.000003395427,0.00001159406,0.0002214877,0.00002037878,0.002444927,0.9940171,0.00001551944,0.001548078,0.0000111033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742666,0.00159141,0.02246113,0.00009690051,0.0000449352,0.00006111561,0.0001742143,0.0002393973,0.001064343],"genre_scores_gemma":[0.9820696,0.0008675932,0.01424558,0.00005542674,0.00001300432,0.00002693599,0.0001215297,0.00001976212,0.002580591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002256749,"threshold_uncertainty_score":0.004487216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572815445556706,"score_gpt":0.2430680578896489,"score_spread":0.2273399034340818,"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."}}