{"id":"W2394313860","doi":"","title":"Optimization of Conditions for Petroleum-degrading Bacteria CQ6 Producing Biosurfactant","year":2015,"lang":"en","type":"article","venue":"Hubei nongye kexue","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Response surface methodology; Petroleum; Pulmonary surfactant; Fermentation; Central composite design; Surface tension; Microbial enhanced oil recovery; Carbon source; Bacteria; Degradation (telecommunications); Strain (injury); Chemistry; Pulp and paper industry; Environmental science; Chromatography; Food science; Biology; Microorganism; Computer science; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007303106,0.001090636,0.0009701803,0.0006716455,0.0003962902,0.0007631574,0.0005272419,0.0007096579,0.0006313121],"category_scores_gemma":[0.001041393,0.0003727603,0.0007062723,0.000672224,0.0003201209,0.000639986,0.0004836671,0.0006085102,0.0002762037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005630318,"about_ca_system_score_gemma":0.0008238291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003712025,"about_ca_topic_score_gemma":0.003964776,"domain_scores_codex":[0.999064,0.0001787098,0.0001259103,0.0001962595,0.0002967078,0.0001384927],"domain_scores_gemma":[0.9996744,0.00007065568,0.00008736735,0.00001938149,0.00009783139,0.00005033225],"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":[0.0002714331,0.0001905422,0.001048723,0.0002489276,0.00001273288,0.0000843589,0.00007114328,0.002117506,0.9930274,0.00008990523,0.00006921349,0.002768022],"study_design_scores_gemma":[0.00006111225,0.001140766,0.006884731,0.00003288585,0.00005334129,0.00008104741,0.0002284621,0.007421379,0.9826652,0.00007219183,0.001299524,0.00005933011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874182,0.001098019,0.009461388,0.0001585797,0.00004254185,0.000235538,0.0003847566,0.0001095662,0.001091469],"genre_scores_gemma":[0.9774664,0.001075276,0.01979664,0.00005733396,0.00001089739,0.0002934912,0.0006263526,0.00003353177,0.0006399977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003712025,"threshold_uncertainty_score":0.007380843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727429977907245,"score_gpt":0.2343490632753138,"score_spread":0.2070747634962413,"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."}}