{"id":"W4392240732","doi":"10.21203/rs.3.rs-3976832/v1","title":"Using in silico analysis to investigate the false positive potential of qPCR systems for potato disease diagnosis","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Alberta","funders":"","keywords":"In silico; Computational biology; Disease; Biology; Biotechnology; Computer science; Genetics; Medicine; Gene; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006742636,0.002010152,0.001484011,0.001093947,0.000606473,0.002688613,0.001407409,0.0024294,0.003261171],"category_scores_gemma":[0.01451821,0.001231616,0.0020573,0.0006547107,0.0006937317,0.001239678,0.0007550929,0.001705376,0.001954629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049153,"about_ca_system_score_gemma":0.0008847261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009268236,"about_ca_topic_score_gemma":0.001228285,"domain_scores_codex":[0.9953657,0.001978998,0.0002477808,0.0009365654,0.001250449,0.0002205751],"domain_scores_gemma":[0.9813575,0.01538596,0.0008572228,0.001060097,0.001210422,0.0001287892],"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":[0.001077083,0.00046277,0.01085776,0.00140439,0.0005626877,0.0004655241,0.0001915338,0.1255658,0.8176171,0.003816375,0.001704378,0.03627473],"study_design_scores_gemma":[0.0000394526,0.0003975602,0.002006298,0.00005204287,0.0002540952,0.0003521277,0.00003498053,0.4577751,0.5325885,0.003289269,0.003148235,0.00006226078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.20405,0.001084218,0.781978,0.0009119107,0.0005063019,0.0002236586,0.002183458,0.006281964,0.002780466],"genre_scores_gemma":[0.7155077,0.0005978407,0.2764428,0.0005820376,0.00007001083,0.0003839447,0.003219777,0.0007774071,0.002418278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006742636,"threshold_uncertainty_score":0.0356589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09884355907453016,"score_gpt":0.424350171971339,"score_spread":0.3255066128968088,"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."}}