{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008260466,0.00006955788,0.0001498414,0.00004518329,0.00001891503,0.00001382048,0.0002275633,0.00004056106,0.00000385145],"category_scores_gemma":[0.0005547415,0.00004408731,0.0001030659,0.0002085883,0.00002861605,0.000006664084,0.0000389605,0.0001139472,2.975351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000664987,"about_ca_system_score_gemma":0.0001083379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001961207,"about_ca_topic_score_gemma":0.00006160524,"domain_scores_codex":[0.9988014,0.0002765185,0.0005115722,0.0000976855,0.0002167749,0.0000960477],"domain_scores_gemma":[0.9991318,0.0001057684,0.0003844127,0.000207299,0.0001489405,0.00002176742],"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":[0.00005135497,0.0003008136,0.1356514,0.0000141946,0.00003491132,0.00006456143,0.0001525691,0.0002736654,0.8630868,0.00001629984,0.00005946297,0.0002939193],"study_design_scores_gemma":[0.0004819223,0.0002285201,0.612935,0.00004445632,0.0000592007,0.00007885345,0.001350562,0.00003523519,0.3845279,0.00001400874,0.0001849659,0.00005942287],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948843,0.004691832,0.00003770563,0.0001053482,0.00006905664,0.0001173597,0.00003510874,3.789653e-7,0.00005896834],"genre_scores_gemma":[0.9996362,0.0001472325,0.00005089398,0.00007821387,0.0000539624,0.000002608018,0.00000693874,0.000005012759,0.00001894736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478559,"threshold_uncertainty_score":0.1797828,"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."}}