{"id":"W2047063048","doi":"10.1002/jctb.1455","title":"Performance analysis of an integrated tangential microfilter‐fermenter","year":2006,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bioreactor; Filtration (mathematics); Industrial fermentation; Volumetric flow rate; Rotational speed; Chromatography; Saccharomyces cerevisiae; Materials science; Flux (metallurgy); Membrane; Chemistry; Yeast; Fermentation; Chemical engineering; Mechanics; Mathematics; Biochemistry; Engineering; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005217412,0.0005939292,0.0004756516,0.0002989039,0.0002674079,0.0006357945,0.000531221,0.0004053946,0.001003796],"category_scores_gemma":[0.0004289154,0.0001699555,0.0003498429,0.000225801,0.0001229852,0.0003381851,0.000265736,0.0002373237,0.0005082999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005724977,"about_ca_system_score_gemma":0.0005361213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641495,"about_ca_topic_score_gemma":0.0009783118,"domain_scores_codex":[0.9997055,0.0000283793,0.00002372693,0.00007481365,0.0001218753,0.00004560397],"domain_scores_gemma":[0.9997161,0.00005019754,0.0000602363,0.00003426385,0.00008996246,0.00004929447],"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":[0.0003579736,0.00008198431,0.001288711,0.00004193255,0.0000120669,0.00002002543,0.00002183026,0.0003528054,0.9917209,0.00002980169,0.00007396514,0.005998072],"study_design_scores_gemma":[0.00004918351,0.001099665,0.01140505,0.000006556419,0.00007374867,0.0001353058,0.00001861297,0.005814199,0.9798424,0.00001672445,0.001523125,0.00001546062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851266,0.0003720275,0.01325758,0.00004070092,0.00004004123,0.00004998752,0.0003179317,0.0004670322,0.000328125],"genre_scores_gemma":[0.9847021,0.0002497463,0.01281045,0.00004447729,0.00001628976,0.0000378407,0.0006038644,0.00004304749,0.001492135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001641495,"threshold_uncertainty_score":0.004153788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005604811314804363,"score_gpt":0.2261612879671993,"score_spread":0.220556476652395,"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."}}