{"id":"W4362724386","doi":"10.5281/zenodo.7810125","title":"Post-COVID-19 Fungal Diseases and Emerging Antifungal Resistance","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Antifungal; Coronavirus disease 2019 (COVID-19); Resistance (ecology); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Biology; Microbiology; Virology; Medicine; Ecology; Infectious disease (medical specialty); Internal medicine; Disease","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":[0.000702411,0.0001894334,0.0002766169,0.0006558644,0.0003708254,0.001408414,0.0002488635,0.0006517342,0.004792924],"category_scores_gemma":[0.001562413,0.00007586872,0.0002595207,0.0008627718,0.0004866085,0.000571216,0.0005905458,0.001091342,0.0006656094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006399237,"about_ca_system_score_gemma":0.0006921771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0029153,"about_ca_topic_score_gemma":0.003260487,"domain_scores_codex":[0.999363,0.0001394974,0.00007297646,0.00008384748,0.0001562555,0.0001843161],"domain_scores_gemma":[0.9988909,0.0001415439,0.0004543029,0.0000593151,0.0002153651,0.0002385425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008319198,0.0004678407,0.5659645,0.0007093591,0.0001417044,0.01639795,0.00112673,0.0004767301,0.01284817,0.01396938,0.02588959,0.3611762],"study_design_scores_gemma":[0.00006955366,0.0006390481,0.7149923,0.00108255,0.0000767218,0.05581223,0.002201777,0.0007504145,0.004276116,0.006187361,0.2138456,0.00006646389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.749695,0.146925,0.003867991,0.01450172,0.0009196099,0.0001455884,0.002379636,0.0001761387,0.08138925],"genre_scores_gemma":[0.9655972,0.02519043,0.001327907,0.001814401,0.0003925603,0.00002708201,0.0009763924,0.00002353675,0.004650473],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004792924,"threshold_uncertainty_score":0.01603395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03551450760080715,"score_gpt":0.2964006561958919,"score_spread":0.2608861485950847,"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."}}