{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002087521,0.0001258863,0.0001605389,0.0001251848,0.00005759287,0.00002624276,0.00008532062,0.00007975307,0.00008249035],"category_scores_gemma":[0.00006193981,0.0001226439,0.00005533333,0.0001558696,0.00003610641,0.0002098947,0.00001609542,0.00007253532,0.00001814882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007635375,"about_ca_system_score_gemma":0.00003203156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001093579,"about_ca_topic_score_gemma":0.000001949389,"domain_scores_codex":[0.9992669,0.00001590845,0.00023517,0.0001937078,0.0001091662,0.0001791133],"domain_scores_gemma":[0.999505,0.00002042557,0.00005639017,0.0002040576,0.0001236137,0.00009050147],"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":[0.0001119195,0.0001395884,0.001605471,0.00091945,0.0001413897,0.000002370483,0.001179521,0.4399991,0.5262225,0.0003031185,0.02823503,0.001140537],"study_design_scores_gemma":[0.002041214,0.0002595524,0.001184161,0.0001675067,0.00009062226,0.00002718829,0.0006942514,0.4169259,0.5464246,0.0002077271,0.03138071,0.0005965268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411544,0.0004001239,0.05036826,0.0005836773,0.003362922,0.0007993421,0.0001530016,0.0005985823,0.002579723],"genre_scores_gemma":[0.9879758,0.00003345881,0.01128118,0.00001949528,0.0002120486,0.00002224019,0.0001351365,0.00003100558,0.0002896741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04682139,"threshold_uncertainty_score":0.5001273,"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."}}