{"id":"W3021717786","doi":"10.1002/cjce.23777","title":"Intermittent ultrasound‐assisted ceramic membrane fouling control in ultrafiltration","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ultrasound; Ultrasonic sensor; Materials science; Fouling; Ultrafiltration (renal); Ceramic membrane; Membrane fouling; Cavitation; Ceramic; Membrane; Volumetric flow rate; Chromatography; Microfiltration; Cross-flow filtration; Biomedical engineering; Chemistry; Composite material; Acoustics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002049659,0.0002166521,0.0002539035,0.0001533964,0.0001257298,0.0002215361,0.0003059483,0.0002566989,0.0003504008],"category_scores_gemma":[0.0002822183,0.0000981679,0.0001927719,0.0001289378,0.0002421446,0.0002764862,0.0002204789,0.0002547107,0.00006470169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379105,"about_ca_system_score_gemma":0.0001168551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007200265,"about_ca_topic_score_gemma":0.0008724852,"domain_scores_codex":[0.9998423,0.0000272311,0.00001000403,0.0000266304,0.00007049099,0.00002336998],"domain_scores_gemma":[0.999858,0.000033845,0.00005006276,0.00001109978,0.00003467161,0.00001232487],"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":[0.00005454407,0.00001300603,0.0001564379,0.00006870776,0.000004602895,0.00001801653,0.00001875816,0.0001190256,0.9958137,0.00002333193,0.00001924751,0.003690664],"study_design_scores_gemma":[0.00001173655,0.0003430366,0.001666791,0.000003685542,0.00002017602,0.00006382495,0.00001714115,0.002940779,0.9937192,0.0000191149,0.001188089,0.000006386455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829937,0.002645786,0.0138963,0.00006161961,0.00002930586,0.00001509188,0.00002334431,0.00007349086,0.0002613393],"genre_scores_gemma":[0.9921501,0.0008486481,0.006378135,0.0000297302,0.00002018552,0.00001272141,0.00002821921,0.000009048927,0.0005231153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007200265,"threshold_uncertainty_score":0.001726151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081812348776143,"score_gpt":0.1906337370147857,"score_spread":0.1798156135270242,"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."}}