{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005422863,0.001411786,0.00116248,0.002354216,0.0007638992,0.001106247,0.0007640047,0.0009318423,0.003808671],"category_scores_gemma":[0.001354018,0.0005302932,0.001005657,0.003554475,0.0003249076,0.0006248727,0.0006438307,0.001207996,0.00338274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008084453,"about_ca_system_score_gemma":0.003264556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410362,"about_ca_topic_score_gemma":0.01645976,"domain_scores_codex":[0.9997124,0.00002321772,0.00002874757,0.00009060556,0.0001005714,0.00004448991],"domain_scores_gemma":[0.9992718,0.0001450695,0.0001763835,0.00005688869,0.0002177757,0.0001320948],"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":[0.001970654,0.0002324001,0.005125123,0.002407744,0.0002080816,0.001001369,0.0004402192,0.001552896,0.9381712,0.0006908347,0.01590041,0.03229905],"study_design_scores_gemma":[0.0009891178,0.00163959,0.2771783,0.001146318,0.002590851,0.004233203,0.001464961,0.01082951,0.3424011,0.00305027,0.3540496,0.0004270703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2967488,0.006511757,0.02998216,0.001066541,0.0007102115,0.0004285645,0.6540718,0.003013353,0.007466828],"genre_scores_gemma":[0.07886706,0.002528334,0.03597975,0.0001674814,0.00008093916,0.000247421,0.8774778,0.0005499183,0.004101369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01410362,"threshold_uncertainty_score":0.02804303,"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."}}