{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867526,0.001175271,0.000787254,0.001419073,0.000472503,0.0006676599,0.0005233033,0.0005550398,0.003456535],"category_scores_gemma":[0.0007958452,0.0003752341,0.0007604525,0.002078312,0.0002876779,0.0005190446,0.0005993756,0.0009585407,0.003934525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491093,"about_ca_system_score_gemma":0.002214886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006474004,"about_ca_topic_score_gemma":0.003766283,"domain_scores_codex":[0.9998106,0.00001914197,0.00003065156,0.00005204449,0.00005845931,0.00002914913],"domain_scores_gemma":[0.9992466,0.0001002451,0.0002264076,0.00007747778,0.000200091,0.0001491225],"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":[0.00100895,0.00008902342,0.004085633,0.00105579,0.00005583714,0.0005594483,0.0002575084,0.0008246805,0.9689989,0.0002989945,0.002154274,0.02061104],"study_design_scores_gemma":[0.000521291,0.001781537,0.2762664,0.0009437502,0.001044874,0.006559171,0.001117703,0.003457629,0.4126024,0.001831626,0.2935517,0.0003218394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5738865,0.006488715,0.02595377,0.001092933,0.0003549458,0.0004637344,0.3827268,0.001133539,0.007899055],"genre_scores_gemma":[0.1750601,0.004538577,0.03295933,0.0002453803,0.00009871567,0.0003448119,0.7792724,0.0004134942,0.00706712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006474004,"threshold_uncertainty_score":0.0128727,"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."}}