{"id":"W2150929242","doi":"10.1111/1462-2920.13121","title":"Cultivating microbial dark matter in benzene‐degrading methanogenic consortia","year":2015,"lang":"en","type":"article","venue":"Environmental Microbiology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Government of Canada; Government of Ontario; Joint Genome Institute; Genome Canada; U.S. Department of Energy","keywords":"Biology; Metagenomics; 16S ribosomal RNA; Pyrosequencing; Population; Microbiology; Bacteria; Biochemistry; Genetics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003926388,0.0002822985,0.0002865664,0.00007427335,0.0000711789,0.00001986056,0.0003170817,0.0002117719,0.007094109],"category_scores_gemma":[0.00002613818,0.0002651628,0.00008296761,0.0001650758,0.0003851514,0.0001581386,0.0003865003,0.0002400532,0.008672069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006048202,"about_ca_system_score_gemma":0.00001330386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001519237,"about_ca_topic_score_gemma":0.0001452157,"domain_scores_codex":[0.9980568,0.0002076311,0.0004739244,0.0005990963,0.00009407445,0.0005684691],"domain_scores_gemma":[0.9993789,0.00004052797,0.0001582319,0.0002489291,0.000001698854,0.0001717653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002553634,0.00007704078,0.3029968,0.000001276635,0.00000726703,0.000008725982,0.0002938496,0.00003263319,0.6845688,0.000001162574,0.01170156,0.0002853243],"study_design_scores_gemma":[0.003677679,0.0001964609,0.1721735,0.00002833907,0.00003113603,0.0003574704,0.0007901777,0.00003469993,0.7604247,0.0001437365,0.0609837,0.001158343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946056,0.00008462124,0.00002396759,0.0002649402,0.000351059,0.000292291,0.00009244095,0.00002854959,0.004256537],"genre_scores_gemma":[0.9956186,0.00001510884,0.001734697,0.00146387,0.0000421645,0.000007049756,0.0001810945,0.00002743436,0.0009099417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308233,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359539201620976,"score_gpt":0.2131910908807482,"score_spread":0.1995956988645385,"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."}}