{"id":"W3128643225","doi":"10.3390/jof7020099","title":"In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols","year":2021,"lang":"en","type":"article","venue":"Journal of Fungi","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; University of Toronto; Institut universitaire de cardiologie et de pneumologie de Québec; Sunnybrook Health Science Centre","funders":"Fonds de recherche du Québec – Nature et technologies; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Biology; Amplicon; Internal transcribed spacer; In silico; Ribosomal DNA; Evolutionary biology; Genetics; Phylum; Taxonomic rank; Ribosomal RNA; Computational biology; Taxon; Polymerase chain reaction; Phylogenetics; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00855442,0.0009001348,0.001246448,0.0007503483,0.0003943628,0.001972838,0.000971759,0.001420836,0.0009288556],"category_scores_gemma":[0.01267707,0.0007872108,0.001185449,0.0005605897,0.0003818113,0.0006866304,0.0005154604,0.0008006407,0.0008624311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003739177,"about_ca_system_score_gemma":0.0006346321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003757714,"about_ca_topic_score_gemma":0.0007162368,"domain_scores_codex":[0.9936899,0.003414138,0.0003659747,0.001204261,0.001089079,0.000236606],"domain_scores_gemma":[0.9882625,0.009758642,0.0007919663,0.000433607,0.0006110813,0.0001423297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001586802,0.0004956374,0.03886801,0.001283325,0.0005336858,0.001019264,0.000454768,0.03089097,0.8862264,0.002316081,0.0003741946,0.03595078],"study_design_scores_gemma":[0.00008459201,0.001284978,0.007546978,0.0001472435,0.0006278319,0.001264743,0.0002201146,0.1757974,0.8051531,0.001574403,0.006207518,0.00009110501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8102427,0.004279521,0.1811742,0.0004000266,0.0002157581,0.0002536785,0.0008277074,0.0004010182,0.002205359],"genre_scores_gemma":[0.8371547,0.001636201,0.1583871,0.0003215238,0.0000341473,0.0001700274,0.001430166,0.0001080455,0.0007581356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00855442,"threshold_uncertainty_score":0.04524058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156364718166082,"score_gpt":0.2833254261966434,"score_spread":0.2617617790149825,"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."}}