{"id":"W2992918536","doi":"10.1002/lol2.10132","title":"Ultra‐small and abundant: Candidate phyla radiation bacteria are potential catalysts of carbon transformation in a thermokarst lake ecosystem","year":2019,"lang":"en","type":"article","venue":"Limnology and Oceanography Letters","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Consiglio Nazionale delle Ricerche; Canada First Research Excellence Fund; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université Laval","keywords":"Thermokarst; Permafrost; Metagenomics; Phylum; Thaumarchaeota; Ecology; Environmental chemistry; Microbial population biology; Archaea; Subarctic climate; Haloarchaea; Biology; Biogeochemical cycle; Environmental science; Bacteria; Chemistry; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591506,0.0001281446,0.0002074195,0.00014134,0.00004105051,0.00001162354,0.00007348932,0.0001220222,0.00004605488],"category_scores_gemma":[0.000001391653,0.0001090936,0.00004008181,0.0001966868,0.000113974,0.0001172634,0.0000162531,0.0001343729,0.000004676992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000011655,"about_ca_system_score_gemma":0.000002334652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001143922,"about_ca_topic_score_gemma":0.0007787336,"domain_scores_codex":[0.9991667,0.00009478648,0.0002391056,0.0002247352,0.00007296388,0.000201732],"domain_scores_gemma":[0.99968,0.0000206826,0.000137053,0.0001155376,0.000002707931,0.00004400147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000117521,0.00003629407,0.8036342,0.0001080845,0.00005905671,0.000008446381,0.003320794,0.0004819842,0.1911746,0.0000220268,0.000008373541,0.001028649],"study_design_scores_gemma":[0.001634553,0.0001331781,0.9880289,0.00006284913,0.00004853383,0.00003467453,0.0003295295,0.001115561,0.008027987,0.00006918625,0.0002676299,0.0002474211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985045,0.0001830444,0.00001090072,0.0004582699,0.0001516492,0.0002543545,0.00002188167,0.00001265419,0.000402739],"genre_scores_gemma":[0.9994732,0.0002809684,0.00001846749,0.0001640251,0.00001060698,0.000004203009,0.00003504379,0.000007690242,0.00000579474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1843947,"threshold_uncertainty_score":0.444871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002641443372204014,"score_gpt":0.1598340191026237,"score_spread":0.1571925757304197,"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."}}