{"id":"W2076757021","doi":"10.1016/s0376-7388(00)00473-7","title":"Flux enhancement in reverse osmosis using centrifugal membrane separation","year":2000,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Victoria","funders":"","keywords":"Concentration polarization; Membrane; Centrifugal force; Reverse osmosis; Centrifuge; Mechanics; Chemistry; Flux (metallurgy); Forward osmosis; Rotational speed; Materials science; Analytical Chemistry (journal); Flow (mathematics); Chromatography; Physics; Classical mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002222608,0.0001899021,0.0003133896,0.0003309738,0.0002313224,0.00009553228,0.0009179238,0.00008758491,0.01167345],"category_scores_gemma":[0.0002371845,0.0001647082,0.00008900862,0.001902637,0.0007016794,0.001930525,0.0001062732,0.0003129658,0.000386541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006314729,"about_ca_system_score_gemma":0.0001594546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001213693,"about_ca_topic_score_gemma":0.00003683339,"domain_scores_codex":[0.9967882,0.00008839505,0.0008296365,0.0003718802,0.001418486,0.0005034221],"domain_scores_gemma":[0.9989659,0.00005264937,0.0004065079,0.0003540608,0.00005337261,0.0001674907],"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":[0.00008224104,0.0001301283,0.001210873,0.000009435158,0.000004096456,0.00003624847,0.0003860916,0.04045315,0.9490538,0.00003372586,0.0004039687,0.008196296],"study_design_scores_gemma":[0.0009002454,0.0001802678,0.00286891,0.00007861335,0.00001834374,0.0001856296,0.0002020079,0.009359715,0.9784185,0.0001642369,0.00737357,0.0002499603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886455,0.00004737787,0.0003276358,0.0006604464,0.0002798109,0.0002110021,0.000001189076,0.00002329279,0.009803745],"genre_scores_gemma":[0.9884378,0.0002179151,0.00960794,0.0002462003,0.00004839651,0.000002588835,6.578165e-7,0.000009566031,0.001428933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03109344,"threshold_uncertainty_score":0.98923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818494779168203,"score_gpt":0.2891300400387457,"score_spread":0.2709450922470636,"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."}}