{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903101,0.0002521698,0.0007529141,0.001637652,0.00004419419,0.00001050697,0.001325906,0.001189658,0.0006071592],"category_scores_gemma":[0.0001188907,0.0002113136,0.0002343479,0.003500191,0.001757894,0.0002431257,0.0003651301,0.0007789177,0.00003275297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877769,"about_ca_system_score_gemma":0.00002346002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003095773,"about_ca_topic_score_gemma":0.00001681085,"domain_scores_codex":[0.9978322,0.00003232737,0.001056575,0.0003606431,0.0003210486,0.0003971942],"domain_scores_gemma":[0.9983056,0.00002697566,0.0008898164,0.0006521115,0.00007847669,0.00004704387],"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":[0.00007494304,0.00025823,0.01246519,0.000005358901,0.0002274319,0.00002173096,0.000008264503,0.0002030306,0.963932,0.000314517,0.0004966608,0.02199268],"study_design_scores_gemma":[0.000469143,0.0004198974,0.002409369,0.00001260079,0.000363724,0.0001700988,0.00006834242,0.001363666,0.9895323,0.001050249,0.003955295,0.0001853189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963127,0.00009706849,0.001168227,0.001659356,0.00009548714,0.0001108188,0.00001109154,0.0002502695,0.0002949826],"genre_scores_gemma":[0.9847589,0.00006289779,0.01501757,0.0000463181,0.00002117411,0.00000587213,0.00001529661,0.00001647709,0.00005554616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02560034,"threshold_uncertainty_score":0.9175732,"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."}}