{"id":"W2761142826","doi":"10.1128/genomea.01044-17","title":"Draft Genome Sequence of <i>Romboutsia maritimum</i> sp. nov. Strain CCRI-22766 <sup>T</sup> , Isolated from Coastal Estuarine Mud","year":2017,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Compute Canada; Canada Foundation for Innovation; Canadian Institutes of Health Research; Mitacs; Government of Canada","keywords":"Biology; Whole genome sequencing; Strain (injury); Estuary; Botany; Genome; Genetics; Gene; Ecology; Anatomy","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":[0.0004989226,0.001759859,0.001763138,0.002020254,0.0009596061,0.001297187,0.0009017247,0.000987647,0.005629126],"category_scores_gemma":[0.001740422,0.000659115,0.001371283,0.005031803,0.0003414244,0.0006158315,0.0006490997,0.001648078,0.005196418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193279,"about_ca_system_score_gemma":0.004454121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04340117,"about_ca_topic_score_gemma":0.03564334,"domain_scores_codex":[0.9996971,0.00002132553,0.00003715123,0.00009511441,0.00009762558,0.00005169717],"domain_scores_gemma":[0.9992104,0.000100578,0.0002087245,0.00005445953,0.0002837644,0.0001421606],"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":[0.00319846,0.0003169397,0.006604935,0.003654864,0.0001781794,0.001824632,0.001089198,0.001436174,0.9235544,0.0005427465,0.02054657,0.03705314],"study_design_scores_gemma":[0.001133172,0.002788187,0.3225247,0.001533102,0.002784677,0.004158169,0.002768646,0.007820899,0.1814243,0.001265645,0.4712681,0.0005304147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3637066,0.004093828,0.0182934,0.001234613,0.0009009446,0.000918803,0.5991135,0.002591129,0.009147067],"genre_scores_gemma":[0.09245328,0.002046861,0.02904493,0.0001608032,0.0001183182,0.000344817,0.8685912,0.0005789389,0.006660855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04340117,"threshold_uncertainty_score":0.08629709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136083809860812,"score_gpt":0.2549689627067696,"score_spread":0.2336081246081614,"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."}}