{"id":"W2042780362","doi":"10.1021/bp0000149","title":"Toluene Removal in an Automated Cyclical Bioreactor","year":2000,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Toluene; Bioreactor; Chemistry; Derivative (finance); Oxygen; Bandwidth throttling; Transient (computer programming); Pulp and paper industry; Carbon dioxide; Chromatography; Chemical engineering; Computer science; Organic chemistry; 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":[0.0001013367,0.0002190696,0.0003148332,0.0002538624,0.00004529002,0.00002170564,0.0005796686,0.001172194,0.0003024805],"category_scores_gemma":[0.0001009236,0.0001914808,0.00005516281,0.0005299224,0.0003057821,0.0001183968,0.00008807503,0.0005252683,0.000137854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006569867,"about_ca_system_score_gemma":0.00001499335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001823505,"about_ca_topic_score_gemma":0.000008948077,"domain_scores_codex":[0.9985428,0.00002052919,0.0003181282,0.0004507209,0.0001312418,0.0005365947],"domain_scores_gemma":[0.99924,0.00002612635,0.00003880417,0.0005947697,0.00001820459,0.00008212242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001310504,0.0003466432,0.00353713,0.00002152912,0.00002377683,0.0003856303,0.00003514953,0.00005417526,0.3781861,0.003036481,0.0003459984,0.6138964],"study_design_scores_gemma":[0.002895697,0.0004174029,0.007027254,0.000140934,0.00002715583,0.0003073607,0.0001306367,0.2022288,0.691835,0.0009209499,0.09303726,0.001031513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854704,0.0005453067,0.00003541983,0.00334601,0.00006997682,0.0001815122,0.000007297936,0.009746866,0.0005972545],"genre_scores_gemma":[0.9953067,0.00005803919,0.004260992,0.00005032308,0.00004125014,0.00004924948,0.00001319161,0.00003162945,0.000188587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6128649,"threshold_uncertainty_score":0.9041037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397050613647688,"score_gpt":0.2866362203554372,"score_spread":0.2726657142189604,"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."}}