{"id":"W4403055716","doi":"10.3114/fuse.2025.15.03","title":"Novel amplified fragment length polymorphism (AFLP) markers for typing medically relevant Fusarium and allied fusarioid genera","year":2024,"lang":"en","type":"article","venue":"Fungal Systematics and Evolution","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Universidade de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Wellcome Trust; Medical Research Council; Canadian Institute for Advanced Research","keywords":"Amplified fragment length polymorphism; Genetics; Biology; Typing; Polymorphism (computer science); Fragment (logic); Computational biology; Genotype; Medicine; Gene; Genetic diversity; Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009068331,0.0008324751,0.0006223524,0.00168895,0.0002525178,0.0005894518,0.0005939595,0.001013464,0.000697804],"category_scores_gemma":[0.001569084,0.0003028804,0.0007146155,0.001267442,0.0003023692,0.0005385258,0.000364719,0.0008649939,0.0006373562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191518,"about_ca_system_score_gemma":0.0003544762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008149011,"about_ca_topic_score_gemma":0.001809636,"domain_scores_codex":[0.9985568,0.0003160844,0.0001340262,0.000458609,0.0003910767,0.0001434823],"domain_scores_gemma":[0.9988828,0.0003357977,0.0003387365,0.00006049655,0.0002849313,0.00009717968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002652416,0.000194623,0.01142647,0.0001841866,0.00003835297,0.0002385799,0.0001240033,0.0004635077,0.9689067,0.00009431316,0.0001344556,0.01792965],"study_design_scores_gemma":[0.0001025748,0.002933505,0.1199603,0.0002313743,0.0006978122,0.004983632,0.0005336502,0.02349756,0.8320806,0.0005264005,0.01432324,0.0001292874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151075,0.003903311,0.07396096,0.000232088,0.0001073004,0.0004028812,0.003744049,0.0002847933,0.002257072],"genre_scores_gemma":[0.7797534,0.001838413,0.2085465,0.0001638408,0.00005036502,0.0002824649,0.007915497,0.00004831989,0.0014012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00168895,"threshold_uncertainty_score":0.004795909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176559952547685,"score_gpt":0.2248785380925862,"score_spread":0.2131129385671094,"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."}}