{"id":"W4220683284","doi":"10.1128/aem.02091-21","title":"Environmental Potential for Microbial 1,4-Dioxane Degradation Is Sparse despite Mobile Elements Playing a Role in Trait Distribution","year":2022,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Imperial Oil Limited","keywords":"Degradation (telecommunications); Trait; Distribution (mathematics); 1,4-Dioxane; Computer science; Biochemical engineering; Biology; Computational biology; Environmental science; Mathematics; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002648906,0.0001966315,0.0002549581,0.000477983,0.0002626409,0.0008229692,0.0001384988,0.0002662645,0.0007474461],"category_scores_gemma":[0.000519262,0.0001029157,0.0001808254,0.0005702831,0.0003664664,0.0004330697,0.0004150567,0.0002811438,0.0001582823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003460894,"about_ca_system_score_gemma":0.0003747894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320775,"about_ca_topic_score_gemma":0.006447311,"domain_scores_codex":[0.9996951,0.00003327913,0.00001699821,0.00008914207,0.0001070047,0.000058511],"domain_scores_gemma":[0.9994808,0.0001353608,0.0001641232,0.00004796932,0.0001166725,0.00005519777],"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":[0.0001007572,0.00003343313,0.03687767,0.0001323869,0.00002547308,0.00007610045,0.0001041417,0.0004354356,0.947054,0.0002458943,0.0000770606,0.01483767],"study_design_scores_gemma":[0.000007775395,0.0005069642,0.6293632,0.00007962893,0.0001014193,0.0008369433,0.00162698,0.002932579,0.3530785,0.001132092,0.01030352,0.00003027167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942285,0.0008258729,0.002286448,0.0001807034,0.000003923637,0.000009123381,0.0006056665,0.00002884974,0.001830921],"genre_scores_gemma":[0.9972893,0.0005392018,0.001233947,0.00005352193,0.000002859905,0.000005766241,0.0004213041,0.000006077495,0.0004480664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002320775,"threshold_uncertainty_score":0.004614532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00352991454828101,"score_gpt":0.1575862600124756,"score_spread":0.1540563454641946,"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."}}