{"id":"W2920961258","doi":"10.5740/jaoacint.18-0321","title":"Recommendations for Validation of Real-Time PCR Methods for Molecular Diagnostic Identification of Botanicals","year":2019,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Identification (biology); Repeatability; Computer science; Biochemical engineering; Biotechnology; Data mining; Engineering; Mathematics; Biology; Statistics","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":[0.120328,0.005391539,0.003726255,0.01134775,0.003189897,0.006231247,0.01267434,0.02269435,0.01335237],"category_scores_gemma":[0.2204301,0.00417541,0.006342837,0.005408488,0.007831409,0.009195679,0.003855919,0.01793224,0.03478871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003288245,"about_ca_system_score_gemma":0.01844644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007102172,"about_ca_topic_score_gemma":0.008447189,"domain_scores_codex":[0.8805934,0.05288596,0.01994307,0.006262614,0.03651289,0.003802073],"domain_scores_gemma":[0.5607186,0.1580816,0.02911368,0.03352097,0.2130759,0.005489217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001018612,0.002277349,0.008666844,0.02739684,0.0003285376,0.001897348,0.003238328,0.005949683,0.1128942,0.01557657,0.4373514,0.3834043],"study_design_scores_gemma":[0.0003106747,0.000841007,0.008013623,0.02456518,0.0006075264,0.001370037,0.002424914,0.003533735,0.06616895,0.01391662,0.877625,0.000622694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01514852,0.07247603,0.6155663,0.1069003,0.02956839,0.02249906,0.0193429,0.01539294,0.1031056],"genre_scores_gemma":[0.01621373,0.02676626,0.8409362,0.04981766,0.002273288,0.01881953,0.0137605,0.002788933,0.02862399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.120328,"threshold_uncertainty_score":0.6363627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859177731161062,"score_gpt":0.3899113444048805,"score_spread":0.3613195670932699,"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."}}