{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001175388,0.0001399652,0.0003123094,0.00003682578,0.00004585399,0.00002050439,0.0002835799,0.0001375559,0.00003955396],"category_scores_gemma":[0.00008595124,0.0001033738,0.0001203113,0.00002995183,0.00008370588,0.000002818386,0.0001482042,0.0001002787,0.00001608311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001816916,"about_ca_system_score_gemma":0.00004536905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001871822,"about_ca_topic_score_gemma":0.000003605078,"domain_scores_codex":[0.9990083,0.00009375844,0.0005190254,0.0001813414,0.00007969939,0.000117857],"domain_scores_gemma":[0.9991471,0.00003243048,0.0003205317,0.00008256706,0.0003416777,0.00007567339],"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":[0.0002359182,0.00003340422,0.003726186,0.0001748811,0.0009353702,0.00002464619,0.0004377666,0.00005696771,0.9852409,0.00003628889,0.009051183,0.00004649538],"study_design_scores_gemma":[0.03668916,0.01449376,0.08381878,0.01267918,0.003875211,0.03629926,0.0190463,0.008071226,0.2731289,0.006306044,0.4985686,0.007023545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802493,0.01409579,0.001933827,0.002621249,0.000660696,0.0001534964,0.0001371668,0.000002552479,0.000145865],"genre_scores_gemma":[0.9963534,0.0007160832,0.001217512,0.0009366259,0.0005960608,0.000003000867,0.00007885924,0.000009796821,0.00008861898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.712112,"threshold_uncertainty_score":0.421546,"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."}}