{"id":"W3158699307","doi":"10.1101/2021.05.03.441842","title":"Metagenomic and Metatranscriptomic Analysis Reveals Enrichment for Xenobiotic-Degrading Bacterial Specialists and Xenobiotic-Degrading Genes in a Canadian Prairie Two-Cell Biobed System","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada; University of Regina","funders":"","keywords":"Xenobiotic; Mesorhizobium; Biology; Metagenomics; Bioremediation; Stenotrophomonas; Bacteria; Microbiome; Pseudomonas; Computational biology; Microbiology; Gene; Biotechnology; Genetics; Nitrogen fixation; Biochemistry; Rhizobia","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":[0.0001993077,0.0005408744,0.0004490333,0.0005233033,0.0008137705,0.0008647927,0.0005661614,0.0004677374,0.0004661459],"category_scores_gemma":[0.0002465333,0.0002262593,0.0003549243,0.0007907656,0.0003595008,0.0002697583,0.0005149915,0.0006463936,0.0001613355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003281303,"about_ca_system_score_gemma":0.003344857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6268633,"about_ca_topic_score_gemma":0.6843042,"domain_scores_codex":[0.999526,0.00001621669,0.00001696526,0.0001618558,0.0001773327,0.0001017204],"domain_scores_gemma":[0.9997962,0.00001878801,0.00002309247,0.0000159315,0.00009186105,0.00005406988],"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":[0.0001365248,0.0000468252,0.007249546,0.00002980637,0.00001488278,0.00005573127,0.0001371364,0.0002396679,0.9906414,0.00003156628,0.00006413939,0.001352752],"study_design_scores_gemma":[0.00004659539,0.0006830649,0.5648485,0.00001720969,0.0001355644,0.0002257757,0.00257547,0.01017978,0.4157347,0.00008054479,0.005391569,0.00008125443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966565,0.0001208211,0.0006787162,0.00005225929,0.000005095058,0.00004750178,0.001839019,0.00001672839,0.0005833658],"genre_scores_gemma":[0.9847131,0.0003426531,0.005145527,0.00009615994,0.000003183422,0.00006971176,0.005133218,0.00001599063,0.004480476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3731367,"threshold_uncertainty_score":0.7506683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119806605809867,"score_gpt":0.2075706408215628,"score_spread":0.1963725747634641,"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."}}