{"id":"W4367047889","doi":"10.1128/mra.01342-22","title":"Metagenomic and Genomic Sequences from a Methanogenic Benzene-Degrading Consortium","year":2023,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Mitacs; Alberta Innovates; Government of Ontario; Ontario Genomics; Genome Canada","keywords":"Metagenomics; Computational biology; Biology; Genetics; Biotechnology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003307393,0.0002222338,0.0002404149,0.000115503,0.000140571,0.00002807006,0.000205197,0.000188323,0.00002542374],"category_scores_gemma":[0.00004149283,0.0002097791,0.00007562662,0.0001695831,0.0001438839,0.000004226733,0.0001980966,0.0001063354,0.00009257687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001939042,"about_ca_system_score_gemma":0.0000303137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006517848,"about_ca_topic_score_gemma":0.00001691284,"domain_scores_codex":[0.9985987,0.00009885804,0.0002570408,0.0006205936,0.00003919569,0.0003856451],"domain_scores_gemma":[0.9994897,0.000008846837,0.00009305844,0.0003112223,0.00003088206,0.0000663157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004014418,0.0000118944,0.002173582,0.000008285026,0.0002061266,0.000003219719,0.000086741,0.00008897513,0.9935907,0.000005735447,0.002976642,0.0008079354],"study_design_scores_gemma":[0.0004647037,0.0001023503,0.001029048,0.00001132923,0.00006423614,0.00005000078,0.0001457018,0.00002174177,0.3928661,0.00001917539,0.6049465,0.0002790712],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953814,0.002980126,0.000115852,0.0001669223,0.0003087619,0.0001821231,0.0007084048,0.00006593949,0.00009049576],"genre_scores_gemma":[0.9900373,0.0009215319,0.0006231523,0.0003585835,0.0004870507,0.00002741811,0.005408746,0.0000382048,0.002098012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6019698,"threshold_uncertainty_score":0.8554542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217670945456517,"score_gpt":0.2293146596529927,"score_spread":0.2171379501984275,"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."}}