{"id":"W3162831154","doi":"10.1128/msystems.01196-20","title":"Freshwater <i>Chlorobia</i> Exhibit Metabolic Specialization among Cosmopolitan and Endemic Populations","year":2021,"lang":"en","type":"article","venue":"mSystems","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Science for Life Laboratory; Svenska Forskningsrådet Formas","keywords":"Ecology; Habitat; Endemism; Biology; Anoxic waters; Cosmopolitan distribution; Latitude; Environmental DNA; Sampling (signal processing); Geography; Biodiversity","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":[0.0002040725,0.0001952343,0.0002123971,0.0006230123,0.000508287,0.0004555451,0.0001353275,0.0001944524,0.0007184257],"category_scores_gemma":[0.0002873967,0.0001643173,0.0002460714,0.0007387158,0.0003268901,0.000176322,0.0005476698,0.0001930445,0.0001222036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004698842,"about_ca_system_score_gemma":0.0005035002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006679791,"about_ca_topic_score_gemma":0.0226013,"domain_scores_codex":[0.9998629,0.00001474727,0.000008358816,0.00004960808,0.00002321101,0.00004113486],"domain_scores_gemma":[0.9998071,0.00002692096,0.0000676778,0.00001945637,0.00003187345,0.00004709755],"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":[0.0003592269,0.00004264341,0.2437963,0.00009267376,0.00006512633,0.00008651946,0.0005019495,0.0003827771,0.7446349,0.0001866176,0.0001049965,0.009746258],"study_design_scores_gemma":[0.000006243578,0.00006244105,0.9859116,0.000005595512,0.0000207067,0.0001142912,0.0003402957,0.0003334033,0.01227475,0.0001122341,0.0008090331,0.00000936886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987628,0.00006588511,0.0002915878,0.00001682653,9.470642e-7,0.000004846298,0.0002764294,0.000009030501,0.0005715877],"genre_scores_gemma":[0.9985554,0.00006426634,0.0007012185,0.00002108484,0.000001327011,0.000005446264,0.0005065825,0.000005039637,0.0001397582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006679791,"threshold_uncertainty_score":0.01328182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183146805938325,"score_gpt":0.2309631871215208,"score_spread":0.2126485065276883,"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."}}