{"id":"W4225368707","doi":"10.3390/app12094620","title":"Nuclear Magnetic Resonance Spectroscopy Analysis of Anaerobic Microbial Metabolic Response to Benzalkonium Chloride Disinfectant","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Benzalkonium chloride; Anaerobic exercise; Anaerobic digestion; Biogas; Wastewater; Bioreactor; Methanogenesis; Pulp and paper industry; Metabolic pathway; Methane; Food science; Waste management; Biochemistry; Metabolism; Chromatography; Environmental science; Biology; Organic chemistry; Environmental engineering; Physiology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009589696,0.0001769919,0.0003497854,0.0001893177,0.0006673661,0.00003782819,0.0008069308,0.00002648186,0.009395231],"category_scores_gemma":[0.0000194288,0.0001702309,0.000175601,0.004241294,0.0006345853,0.00008617002,0.0006959913,0.00013789,0.0001108663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513293,"about_ca_system_score_gemma":0.00001520343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001853564,"about_ca_topic_score_gemma":0.00006151054,"domain_scores_codex":[0.9978018,0.00008223103,0.0003162859,0.0006803343,0.0007163344,0.0004030447],"domain_scores_gemma":[0.9992658,0.00007789891,0.0001258854,0.0003941684,0.000002167616,0.0001340413],"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":[0.0002383226,0.000104249,0.0101997,0.000001098659,0.00003142792,0.000003073905,0.0003883595,0.01847533,0.9698096,0.0002147422,0.0001645897,0.0003695436],"study_design_scores_gemma":[0.0003206938,0.0003708731,0.2323896,0.000002954484,0.0006073621,0.00000441132,0.001173899,0.001047574,0.7340008,0.0001487704,0.02941589,0.0005172121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952315,0.0001330769,0.00002747994,0.0002757451,0.00003497034,0.0001358471,0.00004836049,0.00002343427,0.004089552],"genre_scores_gemma":[0.9972814,0.00002167019,0.001890664,0.0004297012,0.00001438701,0.00003015281,0.000006225847,0.00001028901,0.0003154789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2358088,"threshold_uncertainty_score":0.9915103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004951172210766334,"score_gpt":0.2072768828157285,"score_spread":0.2023257106049622,"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."}}