{"id":"W4243170747","doi":"10.21203/rs.2.10611/v2","title":"Comparative Genomics of Multidrug-Resistant Enterococcus spp. isolated from Wastewater Treatment Plants","year":2019,"lang":"en","type":"preprint","venue":"Research Square","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; Toronto Metropolitan University; Queen's University; Agriculture and Agri-Food Canada; Canadian Food Inspection Agency","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Queen's University; Government of Canada","keywords":"Enterococcus; Multiple drug resistance; Biology; Wastewater; Genomics; Biotechnology; Microbiology; Genetics; Drug resistance; Environmental science; Genome; Gene; Antibiotics; Environmental engineering","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":[0.0001572504,0.0002794304,0.0004195925,0.0005110723,0.0002234464,0.0004017241,0.0002872405,0.000379486,0.0007585479],"category_scores_gemma":[0.0002972542,0.0001552967,0.0003424806,0.0006610319,0.0001660165,0.0001907117,0.0003251288,0.0005246071,0.0003027811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441471,"about_ca_system_score_gemma":0.0002673194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003253652,"about_ca_topic_score_gemma":0.002699782,"domain_scores_codex":[0.9998482,0.00002098307,0.00001188687,0.00003826941,0.0000467383,0.00003382631],"domain_scores_gemma":[0.9998339,0.00005340386,0.00003161821,0.00001052429,0.00004263008,0.00002785142],"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":[0.0001349291,0.00003899576,0.000523227,0.00003814845,0.000007206587,0.00005178075,0.00009960842,0.00006558373,0.9974514,0.00004808363,0.00004236758,0.001498659],"study_design_scores_gemma":[0.00004514936,0.0011421,0.3290252,0.00005735602,0.0001606278,0.001451265,0.001314059,0.002006005,0.6578661,0.0003251566,0.00656707,0.00003991678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953419,0.0005086082,0.0008666333,0.00009610103,0.00001232181,0.00001779037,0.00175905,0.00002150318,0.001376044],"genre_scores_gemma":[0.9879011,0.0005237187,0.002533719,0.00008658504,0.000008913537,0.0000373424,0.005617449,0.0000421344,0.003249076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003253652,"threshold_uncertainty_score":0.006469429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05235706318364278,"score_gpt":0.3418934223945725,"score_spread":0.2895363592109297,"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."}}