{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005352306,0.0009108295,0.0006126264,0.001863883,0.0005444405,0.0006989324,0.0004857625,0.0005950703,0.001771921],"category_scores_gemma":[0.001251288,0.0003411638,0.0007635581,0.003014456,0.0002780074,0.0004839342,0.0007256434,0.0008681696,0.0009132395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375246,"about_ca_system_score_gemma":0.001252694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003132103,"about_ca_topic_score_gemma":0.005192739,"domain_scores_codex":[0.9995818,0.00005653197,0.00004405192,0.0001051423,0.0001325347,0.00008002794],"domain_scores_gemma":[0.9994735,0.000107565,0.00009530785,0.00007250743,0.0001146517,0.0001365189],"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":[0.001145987,0.0001416737,0.002833149,0.000427557,0.00006128114,0.0002702039,0.0003347342,0.0009805745,0.9841216,0.0003770965,0.000475787,0.008830501],"study_design_scores_gemma":[0.0005544536,0.002870874,0.2742673,0.0003135015,0.001345314,0.002667762,0.001884458,0.01649976,0.6078097,0.002626431,0.08887497,0.0002855287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8192843,0.002202488,0.02262715,0.0004136491,0.0001241836,0.0002832063,0.1521904,0.0005504373,0.002324107],"genre_scores_gemma":[0.461236,0.002315234,0.06442035,0.0003805034,0.00007006439,0.0003517177,0.4667776,0.0003952312,0.004053264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003132103,"threshold_uncertainty_score":0.006227732,"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."}}