{"id":"W1992273577","doi":"10.1002/jctb.3692","title":"Simultaneous treatment of methane and swine slurry by biofiltration","year":2012,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Recherche Industrielle du Québec; Institut de Recherche et de Développement en Agroenvironnement; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biofilter; Slurry; Biodegradation; Methane; Ammonium; Pulp and paper industry; Chemistry; Pollution; Environmental science; Environmental engineering; Environmental chemistry; Waste management; Animal science; Biology; Ecology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001990732,0.0004968849,0.0003819156,0.0001880901,0.0001965498,0.0005042081,0.0003250027,0.0003320549,0.0004877362],"category_scores_gemma":[0.0001622838,0.0001292291,0.0004629737,0.0001648495,0.0001458741,0.0002047564,0.0003655616,0.0002898517,0.0001566904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820798,"about_ca_system_score_gemma":0.0002395397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598394,"about_ca_topic_score_gemma":0.00338891,"domain_scores_codex":[0.9997917,0.00003381346,0.00002397574,0.00004081235,0.00007424649,0.00003554688],"domain_scores_gemma":[0.9999198,0.00001753678,0.00002436134,0.000005664762,0.00002256516,0.00001013185],"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":[0.00007821223,0.00003382315,0.0005241985,0.00007256735,0.00001196299,0.00001949426,0.000008269233,0.00009922555,0.9962894,0.000007024683,0.00001950888,0.002836191],"study_design_scores_gemma":[0.00001538551,0.0004948662,0.00270258,0.000007230296,0.00004037499,0.00005972793,0.00001905674,0.001358556,0.9944689,0.000007531817,0.0008214918,0.000004240532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926955,0.0007208298,0.005788921,0.000040483,0.00002931649,0.0000273889,0.0000629616,0.00005379616,0.0005809553],"genre_scores_gemma":[0.9914914,0.0004279438,0.006775077,0.00003833857,0.00001062076,0.00001779525,0.0001422345,0.00001350078,0.001083059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001598394,"threshold_uncertainty_score":0.003178239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009248421449417826,"score_gpt":0.2494156756213565,"score_spread":0.2401672541719387,"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."}}