{"id":"W2023069468","doi":"10.1089/ees.2008.0350","title":"Estimation of Carbon Recovery and Biomass Yield in the Biofiltration of Octane","year":2009,"lang":"en","type":"article","venue":"Environmental Engineering Science","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biofilter; Biomass (ecology); Octane; Biodegradation; Yield (engineering); Respirometry; Chemistry; Carbon fibers; Pulp and paper industry; Environmental chemistry; Carbon dioxide; Environmental science; Environmental engineering; Materials science; Organic chemistry; Ecology; Biology","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":[0.0001717143,0.00005513003,0.00007456552,0.00009203613,0.0000119176,0.00000499445,0.0001373525,0.00003292143,0.000002336691],"category_scores_gemma":[0.0001365613,0.00004245594,0.00001247642,0.0001939478,0.000081338,0.000099417,0.00001664691,0.00006060639,1.82819e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002646955,"about_ca_system_score_gemma":0.000003328142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008296662,"about_ca_topic_score_gemma":1.068518e-7,"domain_scores_codex":[0.999521,0.000001948508,0.0001317271,0.00009692813,0.000154456,0.00009395877],"domain_scores_gemma":[0.9997895,0.00004963647,0.00002975397,0.0001159168,0.000001240358,0.00001396913],"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":[0.000002288381,0.00001358355,0.0002737717,0.000007406657,6.02513e-7,4.324455e-7,0.00006769856,0.03049051,0.9606714,0.000136836,3.788153e-7,0.008335125],"study_design_scores_gemma":[0.00007533824,0.00005805843,0.02712419,0.00003049515,0.000002394169,0.000003461749,0.00006402594,0.2921181,0.680406,0.00006587639,0.000002336592,0.00004972164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974387,0.0001188712,0.002112808,0.00009222687,0.00002438036,0.00005230992,0.000001563945,0.00002097131,0.0001381215],"genre_scores_gemma":[0.9988607,0.00001754582,0.00110444,0.000005140652,0.000003951629,0.000001638189,6.210199e-7,0.000002003723,0.000004010002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802654,"threshold_uncertainty_score":0.1731303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006128136140956171,"score_gpt":0.1923973455323838,"score_spread":0.1862692093914276,"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."}}