{"id":"W4405048688","doi":"10.1016/j.memsci.2024.123589","title":"Prediction of membrane flux in membrane bioreactors through dimensionless analysis and correlations","year":2024,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimensionless quantity; Membrane; Flux (metallurgy); Bioreactor; Chemistry; Mechanics; Biophysics; Physics; Biology; Biochemistry; Organic chemistry","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":[0.0008747582,0.0006683752,0.0006838395,0.0007955335,0.000489396,0.0009624688,0.0006113301,0.001175896,0.0005224975],"category_scores_gemma":[0.004627117,0.0004736446,0.0006539059,0.0006810052,0.0006840448,0.001130125,0.000417622,0.001056773,0.0001366708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082168,"about_ca_system_score_gemma":0.00092506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004543348,"about_ca_topic_score_gemma":0.002185704,"domain_scores_codex":[0.9997603,0.0001120556,0.00001478775,0.0000376881,0.00005658333,0.00001849501],"domain_scores_gemma":[0.9981363,0.00148659,0.000142851,0.00005105249,0.0001497997,0.00003335337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000272471,0.0000366452,0.00116409,0.00003157237,0.000010624,0.00004585602,0.0000152303,0.9886132,0.003285563,0.002648241,0.0001201582,0.004001574],"study_design_scores_gemma":[0.00000181071,0.000004906979,0.0001413876,0.000001381812,0.000001120855,0.000002309054,0.000001575777,0.9989473,0.0005354748,0.0003381746,0.00002181607,0.000002777191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5893001,0.0009299091,0.4032812,0.0004390203,0.0001161424,0.0001122642,0.0001892725,0.0006702676,0.004961757],"genre_scores_gemma":[0.9864363,0.0002564107,0.0124185,0.00002355059,0.00002686488,0.00005903135,0.00004994193,0.0000610557,0.000668438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004543348,"threshold_uncertainty_score":0.009033799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071884219621137,"score_gpt":0.2666468248054959,"score_spread":0.2459279826092845,"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."}}