{"id":"W2165259044","doi":"10.1139/w03-071","title":"The concentrations of hexadecane and inorganic nutrients modulate the production of extracellular membrane-bound vesicles, soluble protein, and bioemulsifier by <i>Acinetobacter venetianus</i> RAG-1 and <i>Acinetobacter</i> sp. strain HO1-N","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United States Agency for International Development; National Science Foundation","keywords":"Hexadecane; Vesicle; Biochemistry; Acinetobacter; Alkane; Bacteria; Substrate (aquarium); Extracellular; Nutrient; Strain (injury); Chemistry; Biology; Microbiology; Food science; Membrane; Ecology; Organic chemistry; Catalysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001271372,0.0003272204,0.0002448558,0.0001174325,0.00008582983,0.000329498,0.0002198448,0.0002138608,0.0003906618],"category_scores_gemma":[0.0002469052,0.0001637549,0.0001400109,0.0001210871,0.0001874952,0.000256215,0.0002611906,0.000292072,0.0001091324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437573,"about_ca_system_score_gemma":0.0002086036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102313,"about_ca_topic_score_gemma":0.001485306,"domain_scores_codex":[0.9998325,0.00003229692,0.00001726978,0.00004497401,0.00003763299,0.00003521933],"domain_scores_gemma":[0.9997813,0.0000664451,0.00007619778,0.00001448625,0.00002166744,0.00003996137],"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":[0.00009366451,0.0000147023,0.0004674672,0.00002344851,0.000002273643,0.00001716449,0.00001629553,0.00005509152,0.998881,0.00001510328,0.00000403121,0.0004097827],"study_design_scores_gemma":[0.00001108913,0.0002520609,0.01145909,0.000007838847,0.00001323806,0.0001084451,0.0001014223,0.0008507864,0.9866201,0.00003130782,0.0005362463,0.000008429848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991125,0.000286389,0.0002661328,0.00002252676,0.000004107548,0.000005701896,0.00006143805,0.00000784749,0.0002334641],"genre_scores_gemma":[0.9976122,0.0002314766,0.001437738,0.00002235487,0.000002442999,0.00001399045,0.0001938362,0.000008862825,0.0004769803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00102313,"threshold_uncertainty_score":0.002034307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00634811253961762,"score_gpt":0.1731522273662208,"score_spread":0.1668041148266032,"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."}}