{"id":"W2139322418","doi":"10.1128/jcm.42.9.4253-4260.2004","title":"Identification and Typing of <i>Malassezia</i> Species by Amplified Fragment Length Polymorphism and Sequence Analyses of the Internal Transcribed Spacer and Large-Subunit Regions of Ribosomal DNA","year":2004,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Nail Diseases and Treatments","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; Mediprobe Research (Canada); Sunnybrook Health Science Centre","funders":"","keywords":"Amplified fragment length polymorphism; Internal transcribed spacer; Malassezia; Biology; Ribosomal DNA; Spacer DNA; Genetics; Ribosomal RNA; Genotype; DNA sequencing; Typing; Sequence analysis; Polymerase chain reaction; DNA; Gene; Microbiology; Genetic diversity; Phylogenetic tree; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003049758,0.00009740503,0.0005652328,0.00006904361,0.00003076243,0.000004764383,0.00007139632,0.00009982206,0.00001329871],"category_scores_gemma":[0.0002009842,0.00006007269,0.0001838347,0.00007627405,0.0005212076,0.0000500001,0.00003763258,0.0001777796,1.644511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001485764,"about_ca_system_score_gemma":0.00008672556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004259109,"about_ca_topic_score_gemma":0.00001410499,"domain_scores_codex":[0.9986268,0.0001100761,0.0009645639,0.0001323372,0.00005999624,0.0001061978],"domain_scores_gemma":[0.9985226,0.0002133455,0.0008864981,0.0001312894,0.0001559335,0.0000903718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007095218,0.0004860327,0.1243251,0.00006724136,0.0004974834,0.000006429545,0.0001689946,0.000001235242,0.8729153,0.0002669174,0.0001020136,0.0004537217],"study_design_scores_gemma":[0.01229947,0.002003598,0.7902086,0.00102436,0.001868968,0.0007039054,0.0005277705,0.000008834474,0.1891036,0.0009088395,0.001205023,0.0001370326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941473,0.002836694,0.0004907504,0.002157351,0.0001016007,0.0001154829,0.000133372,0.000001475375,0.00001596219],"genre_scores_gemma":[0.9975342,0.002009158,0.0001980652,0.0001435742,0.00003705772,4.923764e-7,0.00000688505,0.00000568536,0.00006492032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6838117,"threshold_uncertainty_score":0.2449693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07869886885070569,"score_gpt":0.3839907524003882,"score_spread":0.3052918835496825,"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."}}