{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002425593,0.0004212819,0.000476323,0.00005549134,0.0004956625,0.0001177233,0.0009682387,0.0002088341,0.0001136131],"category_scores_gemma":[0.00005058114,0.0004413198,0.0001726911,0.00006801321,0.0003684284,0.0000080918,0.0007467787,0.0001529166,0.00004794253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003517053,"about_ca_system_score_gemma":0.0001578558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279042,"about_ca_topic_score_gemma":0.0002307775,"domain_scores_codex":[0.9976789,0.00005240302,0.0005639847,0.0007760409,0.0003087046,0.0006199945],"domain_scores_gemma":[0.9978799,0.00001232473,0.0003914421,0.001286098,0.0002633724,0.0001668918],"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":[0.0001307879,0.000171437,0.01432424,0.00003117959,0.0004723095,0.00001593783,0.0004157604,0.0003938662,0.982976,0.00002415577,0.0002809873,0.0007634027],"study_design_scores_gemma":[0.01038817,0.003809749,0.3475712,0.0001462661,0.0005567985,0.00005230429,0.001662634,0.001081257,0.03594962,0.001893929,0.5935605,0.00332765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865802,0.001192299,0.0004950003,0.0001664755,0.00034682,0.0004369278,0.008312628,0.000009654169,0.002460013],"genre_scores_gemma":[0.992415,0.0009050032,0.001182691,0.0003271156,0.000555853,0.00003225239,0.003496572,0.00005091547,0.001034621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9470263,"threshold_uncertainty_score":0.9998038,"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."}}