{"id":"W4402266206","doi":"10.1371/journal.ppat.1012478","title":"New approaches to tackle a rising problem: Large-scale methods to study antifungal resistance","year":2024,"lang":"en","type":"review","venue":"PLoS Pathogens","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"National Institute of Allergy and Infectious Diseases; Fonds de Recherche du Québec - Santé; National Institutes of Health; Canada Research Chairs","keywords":"Antifungal; Resistance (ecology); Scale (ratio); Computational biology; Computer science; Biology; Microbiology; Geography; Ecology; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002241235,0.001030437,0.003840927,0.0005244515,0.0002351982,0.0001692552,0.0005159294,0.0004553066,0.0002040927],"category_scores_gemma":[0.0005215845,0.0007822625,0.001047257,0.002135225,0.00003729264,0.00008122384,0.0004984596,0.001136163,0.00109199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004364071,"about_ca_system_score_gemma":0.00102286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001215926,"about_ca_topic_score_gemma":0.000278899,"domain_scores_codex":[0.9935278,0.0008104998,0.001433641,0.002227964,0.0009252966,0.001074779],"domain_scores_gemma":[0.9964523,0.0002439871,0.000239914,0.001897568,0.0001231495,0.001043062],"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":[0.0003617287,0.003034675,0.00114348,0.07641177,0.00228514,0.001104846,0.007139637,7.842117e-7,0.000336258,0.0002475165,0.02155868,0.8863755],"study_design_scores_gemma":[0.0004237329,0.0005845334,0.0002569318,0.02359929,0.01000828,0.00002674621,0.0009016624,0.000007174162,0.00005920123,0.0001472295,0.9629921,0.0009931034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003418027,0.9727406,0.01306387,0.0002897916,0.0002952365,0.008312924,0.0004281083,0.0003401057,0.004187577],"genre_scores_gemma":[0.0001390173,0.5370547,0.4283491,0.0002230618,0.001018563,0.0007827663,0.000137239,0.0003982495,0.0318973],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9414334,"threshold_uncertainty_score":0.9996858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2088005918772518,"score_gpt":0.4076502646971397,"score_spread":0.1988496728198879,"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."}}