{"id":"W2981376646","doi":"10.1002/lno.11334","title":"Microbial genomes retrieved from High Arctic lake sediments encode for adaptation to cold and oligotrophic environments","year":2019,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Ottawa","funders":"Natural Resources Canada; Suomalainen Tiedeakatemia; Helsingin Yliopisto; ArcticNet; University of Ottawa; Natural Sciences and Engineering Research Council of Canada","keywords":"Verrucomicrobia; Trophic level; Metagenomics; Ecology; Planctomycetes; Arctic; Biology; Microbial population biology; Ecosystem; Biogeochemical cycle; Microbial ecology; Adaptation (eye); Phylum; Nutrient cycle; Proteobacteria; Gene; Bacteria","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":[0.0001688669,0.0003653082,0.0002514223,0.000705649,0.0004976111,0.0007203528,0.00008354964,0.0002199095,0.0007717859],"category_scores_gemma":[0.0003579089,0.000164095,0.0003089384,0.0009199165,0.0001293493,0.0001894472,0.0003724846,0.0002445814,0.0003027949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412114,"about_ca_system_score_gemma":0.0004354687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006045072,"about_ca_topic_score_gemma":0.01228869,"domain_scores_codex":[0.9998851,0.00001059404,0.000007715043,0.0000344365,0.0000260339,0.00003610194],"domain_scores_gemma":[0.9998134,0.00003627519,0.00005203709,0.00001497248,0.00004071662,0.00004250008],"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":[0.0007002449,0.00006227893,0.1012624,0.0003938767,0.0002137583,0.0002990826,0.0005098839,0.0008164261,0.8782203,0.0002916479,0.0008666316,0.0163634],"study_design_scores_gemma":[0.00001553716,0.0001015494,0.9352261,0.0000779482,0.0002113474,0.0004555346,0.0007759591,0.002493509,0.0520893,0.0002223738,0.00830592,0.00002492741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902695,0.001258759,0.001183751,0.00005749886,0.00001960375,0.000009046897,0.006414302,0.00005836675,0.0007291406],"genre_scores_gemma":[0.9780208,0.0006266455,0.002904332,0.00008854144,0.00001463393,0.0000106193,0.01719945,0.00002770712,0.001107133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.993955,"threshold_uncertainty_score":0.01201975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007106932455367739,"score_gpt":0.189736048947869,"score_spread":0.1826291164925013,"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."}}