{"id":"W3148410667","doi":"10.82308/44610","title":"Using DNA microarrays to assess the impact of wastewater treatment processes and disinfection on the prevalence of virulence and antimicrobial resistance genes in «Escherichia coli»","year":2014,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virulence; DNA microarray; Escherichia coli; Microbiology; Antimicrobial; Antibiotic resistance; Gene; Biology; DNA; Genetics; Antibiotics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004383662,0.0004815381,0.0004213284,0.0005357831,0.0002212277,0.0005774477,0.0003005963,0.0008262466,0.001157008],"category_scores_gemma":[0.0004810193,0.0002819023,0.0003197351,0.000654471,0.0001642013,0.0003799403,0.0002397221,0.0004933815,0.0006095283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003067056,"about_ca_system_score_gemma":0.0001716191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004941996,"about_ca_topic_score_gemma":0.001049759,"domain_scores_codex":[0.9992561,0.0001638226,0.00004752872,0.0002650328,0.0001994181,0.0000680711],"domain_scores_gemma":[0.9996781,0.0001293048,0.00008186982,0.00002211271,0.0000642026,0.00002440624],"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":[0.00007062009,0.00004387825,0.001055881,0.00006317022,0.00001262832,0.00000870764,0.00002522548,0.0001002172,0.9950477,0.0000332494,0.00003869399,0.003500153],"study_design_scores_gemma":[0.00001139937,0.0007520881,0.02891649,0.00001922281,0.00004857222,0.0001413217,0.0001271033,0.003069766,0.9627239,0.0001441371,0.004019588,0.00002643723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488378,0.003282136,0.04152792,0.000328625,0.000123156,0.0001389371,0.00245697,0.0002775223,0.003026994],"genre_scores_gemma":[0.8554685,0.003106766,0.1261205,0.0007441853,0.00006790967,0.0007908141,0.00436422,0.00003964613,0.009297487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157008,"threshold_uncertainty_score":0.003870606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738496270665962,"score_gpt":0.2625255012621789,"score_spread":0.2351405385555193,"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."}}