{"id":"W2981500938","doi":"10.3390/microorganisms7110486","title":"Microbial Community Structure and Methane Cycling Potential along a Thermokarst Pond-Peatland Continuum","year":2019,"lang":"en","type":"article","venue":"Microorganisms","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Consiglio Nazionale delle Ricerche; Networks of Centres of Excellence of Canada; ArcticNet; Canada First Research Excellence Fund; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université Laval","keywords":"Thermokarst; Peat; Permafrost; Acidobacteria; Environmental science; Microbial population biology; Subarctic climate; Ecology; Aquatic ecosystem; Sphagnum; Ecosystem; Hydrology (agriculture); Geology; Actinobacteria; Biology","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":[0.00008383824,0.0001100831,0.0001846796,0.0006941434,0.0005904667,0.0005475904,0.000155358,0.0001770759,0.0004193442],"category_scores_gemma":[0.0002224189,0.000125191,0.0001229852,0.0005981044,0.0005099049,0.000178177,0.000315895,0.0001103758,0.00006775979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458919,"about_ca_system_score_gemma":0.001248571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3558145,"about_ca_topic_score_gemma":0.5964689,"domain_scores_codex":[0.9999167,0.000005513788,0.000003246456,0.00002355213,0.0000153488,0.00003568846],"domain_scores_gemma":[0.9998423,0.00001630222,0.00002924953,0.000004794182,0.00004835875,0.00005898669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002402691,0.00004070565,0.8941971,0.00003445182,0.00004479373,0.0002144725,0.00166357,0.0005240301,0.09806205,0.0001027,0.00004812504,0.004827832],"study_design_scores_gemma":[0.000001870919,0.00002076814,0.9981294,0.000002464936,0.000006020425,0.00003705967,0.0005870753,0.0004105268,0.0007083229,0.00001902866,0.00007486145,0.000002623245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999838,0.00001598315,0.00002369064,0.000001995301,1.423036e-7,0.000001424089,0.00003932347,9.906851e-7,0.00007840545],"genre_scores_gemma":[0.9996966,0.00002142194,0.00007682246,0.000003358972,2.702654e-7,0.000001863206,0.0001019004,5.477884e-7,0.00009724363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3558145,"threshold_uncertainty_score":0.7074867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004338467350138185,"score_gpt":0.187987818472012,"score_spread":0.1836493511218739,"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."}}