{"id":"W2165823571","doi":"10.1099/ijs.0.02793-0","title":"Nitratireductor aquibiodomus gen. nov., sp. nov., a novel α-proteobacterium from the marine denitrification system of the Montreal Biodome (Canada)","year":2004,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Biodome; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Mesorhizobium; 16S ribosomal RNA; Strain (injury); Nitrite; Alphaproteobacteria; Proteobacteria; Phylogenetic tree; Denitrification; Bacteria; Nutrient agar; Botany; Alteromonas; Microbiology; Agar; Nitrate; Ecology; Nitrogen fixation; Biochemistry; Nitrogen; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002405831,0.000150981,0.0003053742,0.00003611696,0.000098226,0.00001572085,0.0005403729,0.00009450287,0.000004816076],"category_scores_gemma":[0.0001149292,0.00008762071,0.0001329905,0.00005420421,0.0001849372,0.00000331282,0.0001825238,0.00009267029,0.000001036298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160337,"about_ca_system_score_gemma":0.0003830213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009541417,"about_ca_topic_score_gemma":0.005814088,"domain_scores_codex":[0.9987136,0.0001046624,0.0007312766,0.0001655745,0.0001570845,0.0001278316],"domain_scores_gemma":[0.9983691,0.0000681966,0.00077402,0.0002289474,0.0005223547,0.00003741095],"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":[0.0001349166,0.00005724071,0.005067605,0.0002361025,0.0006355969,0.000003320846,0.000109512,0.0001518127,0.9929194,0.0003043395,0.0003581675,0.0000219259],"study_design_scores_gemma":[0.009117682,0.000863502,0.7652838,0.005104186,0.0009671538,0.01303313,0.007057263,0.0001311737,0.1932389,0.001181657,0.003039081,0.0009825244],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928596,0.003304209,0.0006514789,0.001246844,0.001163064,0.0003279623,0.0003866379,0.000001177692,0.00005899697],"genre_scores_gemma":[0.9983737,0.0001401513,0.0008393686,0.0001262343,0.0004283519,0.00001064844,0.00004436873,0.000008893372,0.00002828193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7996806,"threshold_uncertainty_score":0.9970542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008319473326318478,"score_gpt":0.1897979486111593,"score_spread":0.1814784752848408,"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."}}