{"id":"W2236733134","doi":"10.1128/genomea.01586-15","title":"Complete Genome Sequence of <i>Arthrobacter</i> sp. Strain LS16, Isolated from Agricultural Soils with Potential for Applications in Bioremediation and Bioproducts","year":2016,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; 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":"Bioproducts; Bioremediation; Whole genome sequencing; Strain (injury); Biology; Arthrobacter; Genome; Soil water; Agriculture; Biotechnology; Genetics; Bacteria; Gene; Ecology; Biofuel","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":[],"consensus_categories":[],"category_scores_codex":[0.00007605004,0.0001460094,0.000158561,0.00003293313,0.00006535438,0.00001243216,0.0001145536,0.00005801851,0.00000354007],"category_scores_gemma":[0.000006282301,0.00009828099,0.00002837992,0.000080998,0.0001058123,0.000003487652,0.0000641471,0.00002126101,0.000001513696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001770174,"about_ca_system_score_gemma":0.00003300504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003479076,"about_ca_topic_score_gemma":0.00006783991,"domain_scores_codex":[0.9990886,0.00001584487,0.0002286621,0.0003720075,0.00008419756,0.0002106483],"domain_scores_gemma":[0.9994814,0.000007856211,0.0001336279,0.0001931068,0.0001408864,0.00004313953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006929677,0.00003862727,0.005715476,0.0000114441,0.00008071361,2.445324e-7,0.00009051886,0.00004290431,0.9933922,0.00001432626,0.000007200378,0.0005370716],"study_design_scores_gemma":[0.004609251,0.001511498,0.9092779,0.00004570921,0.00008919868,0.000007073271,0.0003934126,0.00003011978,0.04469861,0.0006505712,0.03794871,0.0007379263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896404,0.0007108966,0.002878298,0.0001520782,0.00004727042,0.0006092665,0.005941452,0.000002531548,0.00001785279],"genre_scores_gemma":[0.9957255,0.0006106315,0.001214821,0.0000419606,0.0001241356,0.00008763674,0.002132096,0.00001058837,0.00005263462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9486936,"threshold_uncertainty_score":0.4007782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144750406434745,"score_gpt":0.2190669153667783,"score_spread":0.2045918747233038,"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."}}