{"id":"W4399753319","doi":"10.1111/1462-2920.16663","title":"Genome‐resolved metagenomics reveals diverse taxa and metabolic complexity in Antarctic lake microbial structures","year":2024,"lang":"en","type":"article","venue":"Environmental Microbiology","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation familiale Trottier; UK Research and Innovation; National Aeronautics and Space Administration","keywords":"Microbial mat; Metagenomics; Biology; Biogeochemical cycle; Phylum; Ecology; Microbial population biology; Cyanobacteria; Anoxygenic photosynthesis; Abundance (ecology); Geomicrobiology; Extreme environment; Microbial ecology; Biodiversity; Community structure; Phototroph; Sediment; Photosynthesis; Botany; Paleontology; Environmental biotechnology; Bacteria; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003443274,0.0002654407,0.0003623516,0.0001213882,0.0001491485,0.00004329775,0.0003125358,0.0001714169,0.01104798],"category_scores_gemma":[0.00001696175,0.0002450018,0.00008520249,0.0001288876,0.00132397,0.0001690589,0.0008729592,0.0003978163,0.001282478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002549943,"about_ca_system_score_gemma":0.00001054112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003660041,"about_ca_topic_score_gemma":0.003613496,"domain_scores_codex":[0.9979646,0.0002559688,0.00030291,0.0006909302,0.00006637826,0.0007192656],"domain_scores_gemma":[0.9994691,0.0000756462,0.00004870698,0.0002431864,6.225994e-7,0.0001627357],"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":[0.0000508802,0.00006407952,0.04263908,0.00001329257,0.00005596107,0.0001095312,0.0003521333,0.0000592442,0.9548528,0.0001154271,0.0003562569,0.001331272],"study_design_scores_gemma":[0.0009508826,0.0001933505,0.7689702,0.000007547135,0.00005479517,0.0005686714,0.0001885012,0.0001104978,0.009046186,0.002500265,0.216874,0.000535038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961222,0.002113165,0.00003897122,0.000193522,0.0002215356,0.0003815729,0.0006402961,0.00003030822,0.0002584331],"genre_scores_gemma":[0.9971742,0.0007150881,0.0009712295,0.000375899,0.00006284679,0.00001579426,0.0002855278,0.0000270125,0.0003723706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9458067,"threshold_uncertainty_score":0.9994951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913396590284425,"score_gpt":0.2358293565691441,"score_spread":0.2166953906662998,"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."}}