{"id":"W3038815591","doi":"10.1371/journal.pntd.0008330","title":"Genome-wide mapping using new AFLP markers to explore intraspecific variation among pathogenic Sporothrix species","year":2020,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Fundação de Amparo à Pesquisa do Estado de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Sight Research UK; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Medical Research Council; Canadian Institute for Advanced Research","keywords":"Biology; Sporothrix; Amplified fragment length polymorphism; Sporothrix schenckii; Sporotrichosis; Genotype; Genotyping; Loss of heterozygosity; Genetics; Microbiology; Genetic diversity; Population; Immunology; Allele; Medicine","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":[0.0004005454,0.0002989769,0.0003119186,0.00128761,0.0001709557,0.000455884,0.0002383812,0.0003106528,0.0006805002],"category_scores_gemma":[0.0006341354,0.0001617968,0.0004874055,0.001058269,0.0001442098,0.0001848337,0.0002334032,0.0004425558,0.0002448278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504778,"about_ca_system_score_gemma":0.0001778765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196043,"about_ca_topic_score_gemma":0.002252955,"domain_scores_codex":[0.9995589,0.00007230597,0.00002720856,0.00020795,0.00009240757,0.00004123565],"domain_scores_gemma":[0.9995819,0.0001500235,0.0001258975,0.00003091254,0.00006177749,0.00004956912],"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":[0.0005166003,0.0001695346,0.07644381,0.0001815073,0.0003265008,0.0002637876,0.0004502243,0.001070533,0.875335,0.0002604075,0.0001250406,0.04485699],"study_design_scores_gemma":[0.00005414734,0.0006805301,0.9058648,0.00004756476,0.0003838862,0.001167932,0.0003058536,0.0108655,0.0741239,0.0003641455,0.006103517,0.00003821834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810169,0.0006290352,0.01575041,0.00003901798,0.000008074378,0.00005737214,0.001496087,0.00008117587,0.0009219337],"genre_scores_gemma":[0.9510946,0.0003909125,0.04398031,0.00004412072,0.00001027388,0.00006775523,0.003618218,0.00003166397,0.0007620512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128761,"threshold_uncertainty_score":0.002378106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0728641576339437,"score_gpt":0.2518056801219018,"score_spread":0.1789415224879581,"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."}}