{"id":"W3029204028","doi":"10.1099/ijsem.0.004239","title":"Sneathiella aquimaris sp. nov., isolated from aquaculture seawater","year":2020,"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":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province; National Natural Science Foundation of China; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Biology; 16S ribosomal RNA; Phosphatidylglycerol; Phylogenetic tree; Strain (injury); Microbiology; Bacteria; Oxidase test; genomic DNA; Botany; Phosphatidylcholine; Gene; Genetics; Phospholipid; Biochemistry; Anatomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001724336,0.001217773,0.000538905,0.0009210026,0.0005563083,0.0006974656,0.0003328206,0.0005370247,0.0005157101],"category_scores_gemma":[0.000426018,0.0002384319,0.0004148783,0.001422969,0.0002435269,0.0005369398,0.0009411971,0.0003440263,0.0005098872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752459,"about_ca_system_score_gemma":0.000556267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551567,"about_ca_topic_score_gemma":0.002875294,"domain_scores_codex":[0.9997407,0.00001149709,0.00006208015,0.00007929094,0.00006331689,0.00004320473],"domain_scores_gemma":[0.9997333,0.00002573184,0.00007451275,0.00002772655,0.00008517751,0.00005355627],"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":[0.0006601562,0.0001863792,0.05814785,0.0009789871,0.00006065174,0.00404679,0.001064737,0.0007235035,0.8911158,0.0001356108,0.0004302202,0.04244933],"study_design_scores_gemma":[0.0002446895,0.002750118,0.6838292,0.0003552454,0.000559001,0.02647186,0.006774613,0.004123075,0.2472925,0.000543106,0.02688162,0.0001749386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954886,0.0008692472,0.0008810097,0.00008131885,0.00005699439,0.0000747314,0.001400521,0.00003543077,0.001112237],"genre_scores_gemma":[0.9853868,0.00141627,0.004618095,0.0001394658,0.00005127665,0.0001487758,0.005633836,0.00001519463,0.002590197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003551567,"threshold_uncertainty_score":0.007061779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163514590376809,"score_gpt":0.2192479132905103,"score_spread":0.2076127673867422,"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."}}