{"id":"W2626114300","doi":"10.1128/genomea.00494-17","title":"Complete Genome Sequence of Acinetobacter calcoaceticus CA16, a Bacterium Capable of Degrading Diesel and Lignin","year":2017,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Western University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Acinetobacter calcoaceticus; Whole genome sequencing; Biology; Bacteria; Genome; Plasmid; Metabolic pathway; Genetics; Gene; Lignin; Biochemistry; Acinetobacter; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003958813,0.001530408,0.001025378,0.002059895,0.0006547883,0.0009134284,0.0006992882,0.0006801349,0.003465428],"category_scores_gemma":[0.001182203,0.0004503248,0.0007835448,0.003526653,0.0003579976,0.0005912433,0.0006347186,0.00129668,0.002670767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007013321,"about_ca_system_score_gemma":0.003495857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050912,"about_ca_topic_score_gemma":0.007587241,"domain_scores_codex":[0.9997148,0.00002802612,0.00003490397,0.00007827932,0.0001009477,0.00004297095],"domain_scores_gemma":[0.9990845,0.0001206464,0.0002257971,0.00009029538,0.0002466662,0.0002321474],"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":[0.001879201,0.0001688338,0.006279144,0.001790933,0.00007703783,0.0006559666,0.0002956284,0.001829928,0.955965,0.0004849533,0.00293851,0.02763488],"study_design_scores_gemma":[0.0008436892,0.001651436,0.2435355,0.001221311,0.001016477,0.003985979,0.001558372,0.01136297,0.3493487,0.002193275,0.3828727,0.0004096749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.617265,0.006765733,0.01803854,0.0007802323,0.0003608516,0.0005432148,0.3490012,0.001195071,0.006050102],"genre_scores_gemma":[0.2028747,0.003544867,0.04641885,0.0001371804,0.00007821959,0.0003957309,0.739002,0.0004506376,0.007097721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050912,"threshold_uncertainty_score":0.0208959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04081275877433469,"score_gpt":0.2538934613354826,"score_spread":0.2130807025611479,"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."}}