{"id":"W2117189615","doi":"10.1002/jctb.2496","title":"Biodegradation of VOC mixtures of different hydrophobicities in two‐phase partitioning bioreactors containing tailored polymer mixtures","year":2010,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Polymer; Biodegradation; Toluene; Bioreactor; Chemical engineering; Hexane; Chromatography; Partition coefficient; Chemistry; Materials science; Organic chemistry","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002505965,0.0003547957,0.001145272,0.001797856,0.00003237176,0.00000883855,0.0008924757,0.001561243,0.00006072249],"category_scores_gemma":[0.001585777,0.0002839171,0.0002583254,0.0008968614,0.001063764,0.0001266868,0.0002298665,0.002231181,0.000001173894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006706248,"about_ca_system_score_gemma":0.00005529933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003298742,"about_ca_topic_score_gemma":0.000008481028,"domain_scores_codex":[0.997394,0.00002386525,0.001489454,0.000310602,0.0002913835,0.0004907142],"domain_scores_gemma":[0.9978994,0.0002504813,0.001059621,0.0005126055,0.0002006899,0.00007716717],"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":[0.0002686464,0.000331942,0.002554655,0.00004199255,0.00009919528,0.00002146905,0.00004608907,0.000009673088,0.9661412,0.01362078,0.00003757528,0.0168268],"study_design_scores_gemma":[0.00289182,0.0004042892,0.00004543758,0.000213526,0.00006539092,0.000128536,0.0003149431,0.0006609481,0.9881643,0.006760425,0.0001137053,0.0002366657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937982,0.001615453,0.0007887213,0.0030661,0.0002681595,0.0001258502,0.00001554296,0.0002757895,0.00004619597],"genre_scores_gemma":[0.997943,0.0001447476,0.001773302,0.00002059782,0.0000600597,0.00001180636,0.00000785916,0.00003228724,0.000006351121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02202313,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008747487961366537,"score_gpt":0.2677921242669387,"score_spread":0.2590446363055722,"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."}}