{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001944868,0.001060064,0.0004350792,0.0005841375,0.0009880606,0.0007519449,0.0004161399,0.0005171197,0.0004769235],"category_scores_gemma":[0.0003933492,0.0002531648,0.0002425453,0.0008588253,0.0002497025,0.0006091517,0.0007074168,0.0003791185,0.0006637122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006734742,"about_ca_system_score_gemma":0.001207859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04916112,"about_ca_topic_score_gemma":0.06470017,"domain_scores_codex":[0.9997424,0.00001050991,0.00003674491,0.0001006081,0.0000564731,0.00005322981],"domain_scores_gemma":[0.9997342,0.00001937304,0.00005212266,0.00002578301,0.00008708117,0.00008145208],"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":[0.0005495074,0.000210386,0.08135772,0.0009249697,0.00008363703,0.003772187,0.001259474,0.00055624,0.8213482,0.0001828253,0.002373843,0.08738112],"study_design_scores_gemma":[0.00010378,0.000915364,0.7797554,0.0002286405,0.0003621911,0.01353151,0.002677828,0.001955614,0.121097,0.0002681729,0.07901892,0.00008562057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820594,0.006078382,0.002656831,0.0002909862,0.0002132975,0.0002452991,0.003783286,0.0001462546,0.004526147],"genre_scores_gemma":[0.9375345,0.008416965,0.02045126,0.000551903,0.000124689,0.0002489288,0.0192938,0.00005316609,0.01332486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9508389,"threshold_uncertainty_score":0.09774995,"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."}}