{"id":"W2782447462","doi":"10.1186/s40168-017-0383-2","title":"Aerobic proteobacterial methylotrophs in Movile Cave: genomic and metagenomic analyses","year":2018,"lang":"en","type":"article","venue":"Microbiome","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":252,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Environment Research Council; Earth and Life Systems Alliance; Queen's University; University of East Anglia; Queen's University Belfast; Sight Research UK","keywords":"Metagenomics; Biology; Biogeochemical cycle; Cave; Ecology; Ecosystem; Anaerobic oxidation of methane; Microbial population biology; Geomicrobiology; Sediment; Microbial ecology; Archaea; Food web; Nutrient cycle; Bacteria; Environmental biotechnology; Methane; Gene","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002551785,0.0001637848,0.0002628246,0.00009788527,0.0001801328,0.00002205639,0.0003039198,0.0001278602,0.008960774],"category_scores_gemma":[0.00001256409,0.0001551197,0.00004297946,0.0002379013,0.0006691277,0.00009650903,0.0004811341,0.0001712779,0.00131342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335219,"about_ca_system_score_gemma":0.00001231455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616525,"about_ca_topic_score_gemma":0.003371606,"domain_scores_codex":[0.9988104,0.0002805883,0.0002278564,0.0003174639,0.00002732292,0.0003364078],"domain_scores_gemma":[0.9995199,0.00003750672,0.0000743141,0.000306292,0.000005492514,0.00005649152],"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":[0.00006377185,0.0000488964,0.002038776,0.000004315416,0.00001881822,0.000003476141,0.0004143774,0.00001150009,0.9954049,0.000003700942,0.001641628,0.0003458341],"study_design_scores_gemma":[0.001587887,0.0005475747,0.4770702,0.00001224677,0.00006418127,0.00007784641,0.00008529179,0.00005629245,0.4522362,0.0005740381,0.06703502,0.0006531746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985736,0.00006005605,0.00001186388,0.00006392894,0.0002050915,0.00027162,0.00001823267,0.00002116566,0.0007744115],"genre_scores_gemma":[0.9977853,0.00001706751,0.001179493,0.0003343145,0.00006548288,0.00001403926,0.00003681464,0.00001441716,0.0005530785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5431687,"threshold_uncertainty_score":0.9994642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685065625100805,"score_gpt":0.29678619547991,"score_spread":0.2699355392289019,"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."}}