{"id":"W4412557434","doi":"10.1128/mbio.02303-24","title":"Breaking down biofilms across critical priority fungal pathogens: proteomics and computational innovation for mechanistic insights and new target discovery","year":2025,"lang":"en","type":"review","venue":"mBio","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Biofilm; Proteomics; Cryptococcal meningitis; Antifungal; Identification (biology); Computational biology; Drug discovery; Antifungal drug; Biology; Microbiology; Bioinformatics; Bacteria; Human immunodeficiency virus (HIV); Immunology; Ecology","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"],"consensus_categories":[],"category_scores_codex":[0.0003519019,0.0003239803,0.001129297,0.0001255318,0.0002352647,0.0001485062,0.00006734474,0.0003652634,0.000005642652],"category_scores_gemma":[0.001339415,0.0002596672,0.0001449273,0.0003654504,0.0001651199,0.0001811437,0.0001045933,0.0003284644,0.000001619615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178476,"about_ca_system_score_gemma":0.0009870981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001573312,"about_ca_topic_score_gemma":0.00001704811,"domain_scores_codex":[0.9982017,0.00006073881,0.0006229362,0.0006116852,0.0002186615,0.000284323],"domain_scores_gemma":[0.9987355,0.0005426804,0.0001590586,0.0002150645,0.0002480327,0.00009961656],"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":[0.0004907109,0.0003293723,0.001030428,0.1716153,0.0003479276,0.00008224237,0.0003990762,5.10585e-7,0.0003983592,0.1257708,0.0005773259,0.698958],"study_design_scores_gemma":[0.007314563,0.002138565,0.009657169,0.1079187,0.006001545,0.0005989649,0.0005085226,0.001436967,0.0003072681,0.1416079,0.718927,0.003582869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00228365,0.8819755,0.1116882,0.0001335208,0.0002624078,0.002603169,0.0009482912,0.00004660718,0.00005875611],"genre_scores_gemma":[0.01026605,0.9247817,0.06012009,0.0004365568,0.0006871115,0.0002270512,0.002214597,0.00007059254,0.001196278],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7183496,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516308564336294,"score_gpt":0.381739456112607,"score_spread":0.3301085996789776,"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."}}