{"id":"W2972767555","doi":"10.1038/s41396-019-0499-4","title":"Diversity and biogeography of SAR11 bacteria from the Arctic Ocean","year":2019,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; ArcticNet; Office of Science; Fisheries and Oceans Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Division of Ocean Sciences; Joint Genome Institute; U.S. Department of Energy","keywords":"Ecotype; Arctic; Biology; Ecology; Biogeography; Brackish water; Water mass; Clade; Salinity; Oceanography; Phylogenetics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002185025,0.000354048,0.0002591012,0.001175236,0.0004576799,0.000655339,0.00009476116,0.0002373438,0.0003448624],"category_scores_gemma":[0.000276923,0.0001438881,0.0003277036,0.001456073,0.000250445,0.0002481527,0.0005224212,0.0002203169,0.0002065057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002290151,"about_ca_system_score_gemma":0.0004716487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009917175,"about_ca_topic_score_gemma":0.01008377,"domain_scores_codex":[0.9998266,0.00001775017,0.00001622466,0.00005970156,0.00003506014,0.00004476057],"domain_scores_gemma":[0.9998189,0.00002030069,0.00004564926,0.00001198179,0.00005459928,0.00004865688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006275099,0.00006481163,0.5551729,0.0002768573,0.0001418959,0.0002887854,0.002557929,0.001034863,0.4107671,0.0003677396,0.0002958669,0.02840374],"study_design_scores_gemma":[0.000005784736,0.0001161458,0.9869215,0.00004371142,0.00006377728,0.0004389709,0.001677466,0.001147186,0.006573765,0.0001466738,0.002846195,0.00001881703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998097,0.000419745,0.000367588,0.00002403675,0.000004241472,0.000003908068,0.0005480499,0.000005990048,0.0005293395],"genre_scores_gemma":[0.9962804,0.000629997,0.001088296,0.00003294243,0.000008564519,0.000007647079,0.001670285,0.000007666021,0.000274213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009917175,"threshold_uncertainty_score":0.01971889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00839533989352497,"score_gpt":0.1886997360831262,"score_spread":0.1803043961896013,"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."}}