{"id":"W2156315970","doi":"10.1128/aem.01774-14","title":"Illuminating Microbial Dark Matter in Meromictic Sakinaw Lake","year":2014,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of British Columbia","funders":"","keywords":"Biology; Chloroflexi (class); Metagenomics; Methanogen; Archaea; Anoxic waters; Ecology; Phylum; Euryarchaeota; Methanomicrobiales; Proteobacteria; Methanosarcina; 16S ribosomal RNA; Bacteria; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009610214,0.0004281919,0.0003093359,0.000708602,0.0008407972,0.0007237769,0.0002185121,0.0002661838,0.0005591689],"category_scores_gemma":[0.0001789039,0.0002520658,0.0002655172,0.001016295,0.0002649351,0.0002436785,0.0008200196,0.0002160227,0.0001825899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006252853,"about_ca_system_score_gemma":0.0008450316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08927375,"about_ca_topic_score_gemma":0.1987469,"domain_scores_codex":[0.9998641,0.000007563338,0.000007691579,0.00004978335,0.00003537745,0.0000353759],"domain_scores_gemma":[0.9998977,0.000007598891,0.00002090394,0.000005155557,0.00003962688,0.00002910439],"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":[0.0004309358,0.00002673347,0.2406345,0.00019747,0.0000940272,0.0001972917,0.00178741,0.0004874238,0.7444055,0.00007164047,0.000191814,0.01147521],"study_design_scores_gemma":[0.00001138135,0.00008921957,0.9724398,0.00002296428,0.00007406282,0.0001076167,0.00156026,0.001681739,0.0216384,0.00006384437,0.002291125,0.00001964911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998557,0.0001652804,0.0002592741,0.00001678734,0.000002341511,0.000007475704,0.0006349493,0.00001171048,0.0003451346],"genre_scores_gemma":[0.9938315,0.0002847257,0.00195432,0.00005447398,0.000005256224,0.00003264574,0.0027425,0.00002184274,0.001072795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9107262,"threshold_uncertainty_score":0.1775082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002757841028132892,"score_gpt":0.1630788797242906,"score_spread":0.1603210386961577,"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."}}