{"id":"W3094590672","doi":"10.1128/mra.00671-20","title":"Draft Whole-Genome Sequence of the Anthracene-Degrading Strain Mycolicibacterium frederiksbergense LB501T, Isolated from a Polycyclic Aromatic Hydrocarbon-Contaminated Soil","year":2020,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"University of Waterloo; Belgian Federal Science Policy Office; Fonds De La Recherche Scientifique - FNRS; Compute Canada","keywords":"Anthracene; Whole genome sequencing; Polycyclic aromatic hydrocarbon; Strain (injury); Genome; Biology; Sequence (biology); Computational biology; Genetics; Chemistry; Environmental chemistry; Gene; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001320595,0.0003670423,0.0004450419,0.00003805227,0.000209584,0.00002305766,0.0006329616,0.000258456,0.00001609692],"category_scores_gemma":[0.00006168093,0.000304336,0.0001856269,0.0002204213,0.0003601731,0.00000226233,0.0004307925,0.0001793733,0.00001530162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002636849,"about_ca_system_score_gemma":0.00008322132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001385009,"about_ca_topic_score_gemma":0.0000634243,"domain_scores_codex":[0.9979871,0.000218203,0.0005525158,0.0006524776,0.00008612164,0.0005035722],"domain_scores_gemma":[0.99893,0.00002402303,0.000360488,0.0005423793,0.00003444439,0.0001086774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001508741,0.0000617141,0.006847233,0.0000156327,0.000416981,0.000004754929,0.001126657,0.00007395683,0.9905663,5.881239e-7,0.000597404,0.0001379699],"study_design_scores_gemma":[0.004263665,0.001940773,0.01301037,0.0001704956,0.0003797699,0.00008267196,0.002633961,0.000724558,0.4543803,0.00007776859,0.5208212,0.001514418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911984,0.001725642,0.00006552116,0.0009271578,0.0001919075,0.0003979685,0.005313501,0.00001243067,0.0001674582],"genre_scores_gemma":[0.9941838,0.000117062,0.0000920702,0.001675121,0.0001459239,0.00002376567,0.003476646,0.0000405443,0.0002450893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5361859,"threshold_uncertainty_score":0.9999409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452396721678838,"score_gpt":0.2171343110107236,"score_spread":0.2026103437939352,"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."}}