{"id":"W2549965616","doi":"10.1111/nyas.13289","title":"Antimicrobial resistance surveillance in the genomic age","year":2016,"lang":"en","type":"review","venue":"Annals of the New York Academy of Sciences","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Cisco Systems Canada; Canada Foundation for Innovation; Genome Canada","keywords":"Antibiotic resistance; Metagenomics; Exploit; Data science; Population; Genomics; Infectious disease (medical specialty); DNA sequencing; Computational biology; Genome; Biology; Computer science; Bioinformatics; Disease; Medicine; Genetics; Antibiotics; Gene; Computer security","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":[0.001617786,0.0007956749,0.001516515,0.002690068,0.0003151709,0.001828864,0.001146576,0.002017132,0.002926352],"category_scores_gemma":[0.003104154,0.000321857,0.0005815601,0.002551998,0.001249832,0.003394681,0.001196728,0.00258992,0.001851673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060125,"about_ca_system_score_gemma":0.001840961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347046,"about_ca_topic_score_gemma":0.001818603,"domain_scores_codex":[0.9993892,0.0001788163,0.00008661958,0.00009470654,0.0002029252,0.00004782881],"domain_scores_gemma":[0.99845,0.0008749989,0.0001426693,0.00005917628,0.0003681577,0.0001049042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000643881,0.00003923856,0.0003243145,0.0101114,0.00007637691,0.0001936282,0.000110698,0.0002463465,0.0007069097,0.009032072,0.033614,0.9454805],"study_design_scores_gemma":[0.000007294219,0.00004548681,0.0005494728,0.003239448,0.0000531953,0.0008020949,0.00008186152,0.00005774323,0.00024935,0.003409664,0.9914886,0.0000158527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006241781,0.9980466,0.0001365622,0.0008976283,0.0002575222,0.000002420965,0.00001196059,0.000006364545,0.0005784794],"genre_scores_gemma":[0.000590958,0.998092,0.0002152464,0.0005300669,0.0002649609,0.000003903918,0.00002099535,0.000001795111,0.000280044],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002926352,"threshold_uncertainty_score":0.009789586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07990841074075734,"score_gpt":0.3575262268405731,"score_spread":0.2776178160998158,"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."}}