{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002096301,0.0002828303,0.0002870527,0.0005782642,0.0003704263,0.0005735272,0.0001681529,0.0003492051,0.0009694859],"category_scores_gemma":[0.0002674175,0.0001894921,0.000146249,0.0004976582,0.0002171472,0.0003553331,0.0005684903,0.000203511,0.0001981829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678351,"about_ca_system_score_gemma":0.0002373966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172927,"about_ca_topic_score_gemma":0.001680666,"domain_scores_codex":[0.9998558,0.00001806606,0.000009849886,0.0000478735,0.00002863137,0.00003974345],"domain_scores_gemma":[0.9998224,0.00002932796,0.00005069825,0.00001159402,0.00003431931,0.0000516392],"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":[0.0003596956,0.00003705313,0.1016663,0.000118133,0.00003483323,0.00008270586,0.0002266995,0.0002032232,0.89061,0.0001114393,0.00007178301,0.006478144],"study_design_scores_gemma":[0.00001458062,0.0003174717,0.9367003,0.0000306438,0.0000702937,0.000390138,0.000956078,0.002061493,0.05764348,0.0002077819,0.001593166,0.00001442415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990376,0.0002113966,0.0002658529,0.00003004928,0.000001586516,0.000005124174,0.0002126819,0.00001159133,0.0002241474],"genre_scores_gemma":[0.9983936,0.0001308389,0.0007088956,0.00002508303,0.000004312181,0.00000799545,0.0004066102,0.000005356278,0.0003172522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001172927,"threshold_uncertainty_score":0.003243327,"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."}}