{"id":"W3044590427","doi":"10.1186/s12896-020-00632-z","title":"Characterization and genomic analysis of a diesel-degrading bacterium, Acinetobacter calcoaceticus CA16, isolated from Canadian soil","year":2020,"lang":"en","type":"article","venue":"BMC Biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Toronto; Western University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Acinetobacter calcoaceticus; Bioremediation; Diesel fuel; Biology; Acinetobacter; Bacteria; Human decontamination; Microbiology; Biodegradation; Biotechnology; Food science; Chemistry; Ecology; Waste management; Genetics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001622431,0.0007240871,0.0004067177,0.0009997021,0.0004921763,0.0006629331,0.0003982482,0.0003598167,0.0006997712],"category_scores_gemma":[0.0006315912,0.0001778221,0.0004275357,0.001708657,0.0003927746,0.000204395,0.000473095,0.0003890166,0.0004620364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006168266,"about_ca_system_score_gemma":0.002021193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1119748,"about_ca_topic_score_gemma":0.08124813,"domain_scores_codex":[0.9997007,0.00001108995,0.00002767176,0.00008000556,0.0001155216,0.00006518235],"domain_scores_gemma":[0.9995135,0.00004117876,0.00009011852,0.00003804808,0.0002163945,0.0001007553],"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":[0.0001449446,0.00008431692,0.01444365,0.000144439,0.00001363832,0.0002787689,0.0001991482,0.0002190141,0.9770867,0.00003455011,0.00008164221,0.007269204],"study_design_scores_gemma":[0.00005716899,0.0009331692,0.4120245,0.00009933671,0.0001909459,0.003594293,0.002701859,0.001582419,0.5581934,0.0001312984,0.02039406,0.00009754868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910179,0.000628013,0.001082215,0.0000950384,0.00002075935,0.0001186766,0.005842479,0.00002970545,0.001165158],"genre_scores_gemma":[0.9686502,0.001418304,0.008260615,0.00009230687,0.00001989497,0.0001422799,0.01576012,0.00004072321,0.005615558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8880252,"threshold_uncertainty_score":0.222646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089245137830592,"score_gpt":0.1864341953809328,"score_spread":0.1755417440026269,"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."}}