{"id":"W3083800441","doi":"10.1039/d0ew00461h","title":"Coagulation/flocculation prior to low pressure membranes in drinking water treatment: a review","year":2020,"lang":"en","type":"review","venue":"Environmental Science Water Research & Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; Vancouver Biotech (Canada); Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Flocculation; Coagulation; Fouling; Membrane; Membrane fouling; Water treatment; Chemical engineering; Chemistry; Chromatography; Materials science; Pulp and paper industry; Environmental science; Environmental engineering; Medicine; Engineering; Biochemistry; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002199468,0.0007305572,0.001554432,0.001530821,0.0007130666,0.0001517738,0.002860803,0.0006002801,0.003428748],"category_scores_gemma":[0.0002124053,0.0004487938,0.000216704,0.002971498,0.002955808,0.0008969656,0.003895416,0.001065265,0.0111109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812463,"about_ca_system_score_gemma":0.00008669601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001143954,"about_ca_topic_score_gemma":0.00006621055,"domain_scores_codex":[0.9923632,0.0004034423,0.001097107,0.002245551,0.001946573,0.001944107],"domain_scores_gemma":[0.9979416,0.00006396398,0.0001472775,0.001521334,0.00001280881,0.0003129882],"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":[0.00001336948,0.0002524361,0.0002172445,0.002868244,0.00003926339,0.0001717208,0.0005623485,0.0002925715,0.02298214,0.0000578258,0.0001642441,0.9723786],"study_design_scores_gemma":[0.0002070222,0.0002788763,0.00003244873,0.002955714,0.00007422362,0.00007709617,0.00006918682,0.00008593706,0.04029023,0.0002665739,0.9550949,0.0005678359],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006840716,0.9781398,0.00002213578,0.004927472,0.0001342376,0.008483264,0.00002888992,0.0004836674,0.00093988],"genre_scores_gemma":[0.02856452,0.9681017,0.0003948291,0.0001168123,0.0000363399,0.001718863,0.0001113776,0.00007613206,0.0008793774],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9718108,"threshold_uncertainty_score":0.9997964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05609013769674251,"score_gpt":0.3641200082153523,"score_spread":0.3080298705186099,"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."}}