{"id":"W6981539534","doi":"","title":"EMERGENCE AND MECHANISMS OF MULTI-DRUG RESISTANT MICROORGANISMS IN PATIENTS AT HIGH RISK FOR ANTIMICROBIAL RESISTANCE","year":2021,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antibiotic resistance; Identification (biology); Antibiotics; Antimicrobial; Bacteria; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007399818,0.0002518155,0.0004362028,0.001213082,0.0006054969,0.002070325,0.0005259797,0.001054823,0.003595254],"category_scores_gemma":[0.002371609,0.0004239633,0.0006431141,0.0008518221,0.0006004125,0.0009217269,0.0008037727,0.001298137,0.0005662293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008858779,"about_ca_system_score_gemma":0.0009217291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097043,"about_ca_topic_score_gemma":0.003121857,"domain_scores_codex":[0.9991882,0.0001858067,0.00006433033,0.0001739094,0.0002005837,0.0001871827],"domain_scores_gemma":[0.999016,0.0001903822,0.000453873,0.00004231858,0.0001532059,0.0001442234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005992266,0.0005407342,0.8159363,0.001084114,0.0001838255,0.003632323,0.004562779,0.0003112155,0.01140148,0.007469398,0.00997273,0.1443058],"study_design_scores_gemma":[0.00003686045,0.000875581,0.9566923,0.001029068,0.0001389032,0.00940115,0.005339696,0.0007054821,0.00226654,0.004396629,0.01904062,0.00007717515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8641338,0.1053298,0.002453245,0.01256663,0.000301671,0.0001872892,0.0006834865,0.0000919533,0.0142522],"genre_scores_gemma":[0.9536611,0.03944201,0.001815763,0.001682685,0.0002250228,0.00007956631,0.0003277507,0.00001676325,0.002749378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003595254,"threshold_uncertainty_score":0.01202732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00561867030171579,"score_gpt":0.1971200961936571,"score_spread":0.1915014258919413,"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."}}