{"id":"W2973306397","doi":"10.1038/s41467-019-12195-5","title":"A shared core microbiome in soda lakes separated by large distances","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary; Alberta Innovates; Genome Canada; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Phototroph; Gammaproteobacteria; Metagenomics; Ecology; Microbiome; Cyanobacteria; Microbial mat; Biology; Microbial ecology; Anoxygenic photosynthesis; Autotroph; Chloroflexi (class); Ecological niche; Prokaryote; Proteobacteria; Amplicon sequencing; Bacteria; Habitat; 16S ribosomal RNA; Paleontology","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":[0.0001078247,0.000213188,0.0003833179,0.0007095683,0.001170138,0.0006579433,0.0001772706,0.0002707702,0.0005740068],"category_scores_gemma":[0.0002692493,0.0001705267,0.0001773495,0.0007842844,0.0005437495,0.0003064396,0.001041102,0.0001728314,0.00007838645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008466924,"about_ca_system_score_gemma":0.001689134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07140563,"about_ca_topic_score_gemma":0.1141856,"domain_scores_codex":[0.9998224,0.000006865366,0.000008618123,0.00006621954,0.00004709,0.00004879599],"domain_scores_gemma":[0.9998176,0.00001134976,0.00004738666,0.00001116855,0.00004849153,0.00006400357],"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":[0.0004997251,0.00003018465,0.4470837,0.0001302679,0.00009940661,0.0003595683,0.00312498,0.0001585339,0.5374504,0.0002196438,0.0002129208,0.0106306],"study_design_scores_gemma":[0.000008098882,0.00005800031,0.9921224,0.00000784698,0.0000395378,0.0002236925,0.001160371,0.0003108392,0.004911708,0.00007926983,0.001067344,0.0000108886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993368,0.00007892025,0.0001201171,0.00001415061,0.000001171816,0.000005747807,0.0002133226,0.000007215377,0.0002225395],"genre_scores_gemma":[0.9986295,0.00006549226,0.0004340355,0.00002729168,0.000001647701,0.000007924063,0.0004729346,0.000004828947,0.000356248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07140563,"threshold_uncertainty_score":0.1419801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089044727328228,"score_gpt":0.2794608547820365,"score_spread":0.2685704075087542,"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."}}