{"id":"W2072810825","doi":"10.1007/s00253-009-2272-5","title":"Linking performance to microbiology in biofilters treating dimethyl sulphide in the presence and absence of methanol","year":2009,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Custom Security Industries (Canada); Aecom (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biofilter; Methanol; Chemistry; Dimethyl sulfide; Environmental chemistry; Biodegradation; Microorganism; Bacteria; Environmental engineering; Biology; Organic chemistry; Environmental science; Sulfur","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003651669,0.000199888,0.0004028359,0.000375973,0.00004884991,0.000005339627,0.0004048604,0.000718129,0.000002977912],"category_scores_gemma":[0.000143723,0.0001428941,0.00002283135,0.0004740209,0.0003804353,0.00002886413,0.0001711041,0.0005595138,0.00000259171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001873503,"about_ca_system_score_gemma":0.000009412964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001999369,"about_ca_topic_score_gemma":0.00002527897,"domain_scores_codex":[0.9987477,0.00003414501,0.0003638329,0.0004170289,0.000019262,0.0004180226],"domain_scores_gemma":[0.9992924,0.0003167041,0.00008256203,0.0002756535,0.00001131746,0.00002131053],"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":[0.00005431919,0.00002572574,0.001994909,0.00002257238,0.000006556152,0.000004510393,0.0002732486,0.00003766236,0.9471468,0.002469964,0.000009264787,0.04795443],"study_design_scores_gemma":[0.0006234994,0.0001966687,0.002092183,0.00007823641,0.00000648637,0.0001018339,0.0004305571,0.0002020355,0.9948727,0.000618727,0.0005855347,0.0001915281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954245,0.0006626345,0.0003720839,0.003008018,0.00003014647,0.0002825674,0.000007231038,0.00009583608,0.0001169533],"genre_scores_gemma":[0.9965559,0.0003481791,0.002665278,0.0003756236,0.000009322713,0.00002334764,0.000006946823,0.00000644136,0.000008978664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0477629,"threshold_uncertainty_score":0.5827053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008148568767657094,"score_gpt":0.2206499502631409,"score_spread":0.2125013814954838,"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."}}