{"id":"W2954805714","doi":"10.1016/j.jwpe.2019.100883","title":"Effects of feed water temperature on irreversible fouling of ceramic ultrafiltration membranes","year":2019,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education - Singapore","keywords":"Fouling; Ultrafiltration (renal); Membrane fouling; Chemistry; Membrane; Ceramic membrane; Filtration (mathematics); Viscosity; Chemical engineering; Chromatography; Pulp and paper industry; Materials science; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0001994613,0.0001210584,0.0002456534,0.0001331978,0.00001751004,0.00001367987,0.0002175002,0.00008934301,0.0001119951],"category_scores_gemma":[0.00003456611,0.00007223269,0.0000652571,0.0001030279,0.00002298203,0.0003828641,0.0000255773,0.0001933403,0.00002434553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004073001,"about_ca_system_score_gemma":0.000005374711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003440422,"about_ca_topic_score_gemma":3.003318e-7,"domain_scores_codex":[0.9990559,0.00001167573,0.000351094,0.0001063496,0.0003107278,0.0001642261],"domain_scores_gemma":[0.9996684,0.00003685506,0.0001256773,0.0001051484,0.0000349363,0.00002904076],"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":[0.0000272903,0.00002265224,0.0003259039,0.0005066489,0.00001467141,0.000002324883,0.0006336014,0.275321,0.7230818,0.000003211372,0.000005659541,0.00005522697],"study_design_scores_gemma":[0.000418095,0.0001927404,0.0008849927,0.0001647435,0.000016498,0.00001736985,0.00006444892,0.002066516,0.9959882,0.00003792789,0.00005505907,0.00009341838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992272,0.00003671849,0.0001978074,0.00007201097,0.0001892291,0.0001447155,4.288402e-7,0.00002223171,0.0001097015],"genre_scores_gemma":[0.9994652,0.00002162414,0.0003571284,0.00001102899,0.00002312866,0.00000186551,0.000001383055,0.00001305073,0.0001055746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2732545,"threshold_uncertainty_score":0.2945564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003472967380397423,"score_gpt":0.1915683280806353,"score_spread":0.1880953607002379,"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."}}