{"id":"W2034750820","doi":"10.1038/ismej.2015.22","title":"Comparative analysis of metagenomes from three methanogenic hydrocarbon-degrading enrichment cultures with 41 environmental samples","year":2015,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Virtual Materials Group (Canada); Ontario Genomics; University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Universitetet i Oslo; University of Alberta; Genome Canada","keywords":"Hydrocarbon; Metagenomics; Bioremediation; Methanogenesis; Enrichment culture; Biology; Environmental chemistry; Methane; Bacteria; Microbiology; Chemistry; Ecology; Gene; Biochemistry; Organic chemistry; Genetics","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":[0.0003151495,0.0006767249,0.0005272932,0.0008359445,0.0004893055,0.0006246087,0.0002143706,0.0004221637,0.0003444884],"category_scores_gemma":[0.0006245929,0.000242077,0.0007655586,0.001319743,0.0002428887,0.0002329259,0.0007375867,0.0003754608,0.0001870934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724781,"about_ca_system_score_gemma":0.0003953275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002729702,"about_ca_topic_score_gemma":0.00314394,"domain_scores_codex":[0.9994496,0.00006910728,0.00005783365,0.0001226878,0.0001916504,0.0001091709],"domain_scores_gemma":[0.9997498,0.00005823307,0.00003987309,0.0000254262,0.00008411064,0.00004240888],"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":[0.0001823584,0.00003403323,0.005636837,0.00005811661,0.0000384591,0.00006666236,0.0001446384,0.00008790808,0.9916896,0.00001024336,0.00001030957,0.002040795],"study_design_scores_gemma":[0.00002887179,0.0006585235,0.3670339,0.00003334624,0.0004328881,0.001064984,0.001258227,0.00153854,0.6246289,0.00007057743,0.00320975,0.00004149535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962968,0.0004986279,0.001515283,0.00002519349,0.000008821999,0.00004786661,0.001221204,0.00001590072,0.0003702761],"genre_scores_gemma":[0.9807103,0.001073736,0.008123154,0.00009469214,0.0000157697,0.0001506765,0.00904831,0.00003621613,0.0007470091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002729702,"threshold_uncertainty_score":0.005427659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03915007320667901,"score_gpt":0.2567063268783102,"score_spread":0.2175562536716312,"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."}}