{"id":"W4403237389","doi":"10.1101/2024.10.07.617009","title":"FungAMR: A comprehensive portrait of antimicrobial resistance mutations in fungi","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université de Montréal; University of Guelph; Université Laval","funders":"","keywords":"Portrait; Antimicrobial; Resistance (ecology); Microbiology; Biology; Antibiotic resistance; Genetics; Art; Art history; Antibiotics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001244709,0.0009817745,0.0009724698,0.01097565,0.0007809452,0.001428717,0.000915285,0.001093171,0.004886773],"category_scores_gemma":[0.004284228,0.0003235124,0.001184513,0.00685565,0.0002729159,0.001245548,0.001577867,0.0006566919,0.004158605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004117849,"about_ca_system_score_gemma":0.0008859074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221087,"about_ca_topic_score_gemma":0.003133383,"domain_scores_codex":[0.9989341,0.0001707431,0.0001709239,0.0003253753,0.0003043499,0.00009458906],"domain_scores_gemma":[0.9975984,0.000913342,0.0004802891,0.0004061486,0.0003408233,0.0002610009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001907852,0.0002570058,0.1072438,0.02842658,0.00173746,0.007085572,0.001537395,0.01008575,0.2547459,0.006284019,0.2927683,0.2879204],"study_design_scores_gemma":[0.0001999273,0.0005043867,0.1411941,0.00237344,0.001214863,0.009677827,0.0005173527,0.009493153,0.02691237,0.007299117,0.8003706,0.0002428578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1895084,0.06281361,0.01779511,0.001818237,0.0003924904,0.0001868807,0.7019627,0.01064841,0.01487419],"genre_scores_gemma":[0.1672082,0.01658627,0.04322163,0.0008131486,0.0001881659,0.0002653542,0.7673723,0.001442927,0.002901912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01097565,"threshold_uncertainty_score":0.01634789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539535755490871,"score_gpt":0.2360436402245895,"score_spread":0.2206482826696808,"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."}}