{"id":"W2559178234","doi":"10.2172/1281780","title":"Varying Conditions for Hexanoic Acid Degradation with BioTiger™","year":2016,"lang":"en","type":"report","venue":"","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tailings; Hexanoic acid; Bioremediation; Biodegradation; Oil sands; Degradation (telecommunications); Oil refinery; Chemistry; Petroleum; Environmental chemistry; Bioaugmentation; Yeast extract; Naphthenic acid; Contamination; Environmental science; Pulp and paper industry; Waste management; Food science; Organic chemistry; Biology; Ecology; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003945329,0.0008101803,0.000474657,0.0002634306,0.0002973214,0.0005728853,0.0004106023,0.0005017878,0.001397278],"category_scores_gemma":[0.0006457083,0.0003446041,0.0004102521,0.0008188195,0.0002188639,0.0005611417,0.0005144275,0.0008782806,0.0005590087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762012,"about_ca_system_score_gemma":0.0004425896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944238,"about_ca_topic_score_gemma":0.003455894,"domain_scores_codex":[0.9992711,0.00009961433,0.00009887807,0.0001732216,0.0001911912,0.0001659632],"domain_scores_gemma":[0.9995771,0.0001040419,0.0001189883,0.00003330832,0.0001218256,0.00004466732],"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":[0.0003786089,0.0001210444,0.0004058488,0.0001004252,0.0000117906,0.000034542,0.00009479345,0.0003590938,0.9963998,0.00003966981,0.00009440147,0.0019601],"study_design_scores_gemma":[0.00001297216,0.00106971,0.00179109,0.00001696636,0.0000248555,0.00003082383,0.00007595214,0.0005560128,0.9950246,0.00002753479,0.001346048,0.00002338394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946786,0.0009682369,0.001896636,0.00007968476,0.00005218688,0.00009767549,0.0007371752,0.00007560694,0.001414244],"genre_scores_gemma":[0.9861671,0.001649402,0.007465325,0.00007848826,0.00001734494,0.0002708608,0.001468454,0.00005726481,0.002825684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002944238,"threshold_uncertainty_score":0.005854189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044624283911392,"score_gpt":0.272403700382374,"score_spread":0.2419574575432601,"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."}}