{"id":"W4382798011","doi":"10.1016/j.seppur.2023.124498","title":"Iron oxide doped ceramic membranes for combined organic – Inorganic colloidal fouling mitigation","year":2023,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures","keywords":"Membrane; Fouling; Ultrafiltration (renal); Membrane fouling; Chemical engineering; Biofouling; Humic acid; DLVO theory; Materials science; Membrane technology; Ceramic membrane; Colloidal silica; Chemistry; Ceramic; Colloid; Chromatography; Nanotechnology; Organic chemistry; Coating; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000176592,0.0002260125,0.0001925059,0.0002610131,0.0002975619,0.0002947033,0.0002739987,0.0003928463,0.0005055954],"category_scores_gemma":[0.0001279762,0.0001485619,0.0002545124,0.0001452842,0.0001757643,0.0002438505,0.0002354697,0.0004044121,0.000214181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136547,"about_ca_system_score_gemma":0.0002771539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372387,"about_ca_topic_score_gemma":0.004094752,"domain_scores_codex":[0.9998937,0.00000806052,0.000006014054,0.0000215466,0.00004392947,0.00002683209],"domain_scores_gemma":[0.9999579,0.000007397281,0.000007926352,0.000003245358,0.00001625169,0.000007394058],"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":[0.00003627798,0.00001120256,0.00005264936,0.00004304417,0.000005837467,0.00002394983,0.00001007646,0.0000772241,0.997297,0.0001312229,0.00006976258,0.002241818],"study_design_scores_gemma":[0.000005312435,0.00006523339,0.0003620704,0.000002558984,0.00001266885,0.00003457706,0.00001126466,0.001099806,0.9967817,0.00002168274,0.001599244,0.000003788712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789928,0.002728791,0.01455018,0.0001683928,0.0001339329,0.00003114532,0.00009698041,0.0001440105,0.003153686],"genre_scores_gemma":[0.9896119,0.0007699617,0.00634511,0.00004278512,0.00001969173,0.00001344051,0.000068163,0.00001134536,0.003117737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001372387,"threshold_uncertainty_score":0.00272882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132449986118634,"score_gpt":0.2640680619435383,"score_spread":0.2508230633316749,"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."}}