{"id":"W2006467323","doi":"10.1002/cjce.22117","title":"Advanced tools for fluid and fouling layer characterization applied to the description of membrane fouling phenomena for particle‐organic matter mixtures","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHIST-ERA","keywords":"Fouling; Membrane fouling; Filtration (mathematics); Particle (ecology); Membrane; Characterization (materials science); Particle deposition; Chemical engineering; Materials science; Deposition (geology); Organic matter; Chemistry; Chromatography; Nanotechnology; Composite material; Engineering; Geology; Mathematics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001237298,0.001115042,0.0007149738,0.001878636,0.0003833726,0.0008634038,0.0007841058,0.001016764,0.002953058],"category_scores_gemma":[0.001601902,0.0004353033,0.0008268401,0.001058889,0.0005075277,0.001089831,0.0008090537,0.001262506,0.001711136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003551057,"about_ca_system_score_gemma":0.0004912573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006918,"about_ca_topic_score_gemma":0.000971971,"domain_scores_codex":[0.999553,0.0001251181,0.00004997409,0.00006730741,0.0001633172,0.00004126633],"domain_scores_gemma":[0.9994128,0.000314894,0.0000594823,0.00008447418,0.0001124188,0.00001600632],"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":[0.00006826701,0.0001140229,0.0009030452,0.0006313236,0.0000651552,0.0003073755,0.000226355,0.0139714,0.8755292,0.01253617,0.0008197579,0.09482803],"study_design_scores_gemma":[0.00002657312,0.0002036288,0.004544159,0.0001229037,0.00005782682,0.0007966858,0.000209723,0.4630722,0.4713081,0.01822613,0.04131226,0.0001198789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009773742,0.0006995185,0.9870275,0.0000305698,0.00003283053,0.00008555942,0.0002268158,0.001077488,0.001046018],"genre_scores_gemma":[0.1376845,0.001530982,0.8563346,0.0000555537,0.00002818607,0.0007703883,0.0007935915,0.0003290396,0.002473051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002953058,"threshold_uncertainty_score":0.009878933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261927545753763,"score_gpt":0.1921697925907077,"score_spread":0.1795505171331701,"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."}}