{"id":"W2811224171","doi":"10.1016/j.foodchem.2018.06.141","title":"Comparison of quantitative methods based on SYBR Green real-time qPCR to estimate pork meat adulteration in processed beef products","year":2018,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Agriculture, Food and Rural Affairs; University of Saskatchewan","keywords":"Normalization (sociology); Food science; Real-time polymerase chain reaction; Standard curve; Chromatography; Chemistry; SYBR Green I; Gene; Biochemistry","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":[0.007476383,0.001676002,0.001326451,0.002029869,0.0006446295,0.001670984,0.001309503,0.00130652,0.002087365],"category_scores_gemma":[0.005691803,0.001074549,0.001548336,0.001525908,0.0009241064,0.00094687,0.0008168055,0.001720619,0.0007904367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000960357,"about_ca_system_score_gemma":0.000913902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684319,"about_ca_topic_score_gemma":0.003787118,"domain_scores_codex":[0.9908445,0.002374183,0.0006686946,0.002025547,0.003646291,0.0004407221],"domain_scores_gemma":[0.9946681,0.002663821,0.0004902291,0.0003741814,0.001684799,0.0001188937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002300431,0.0003950686,0.01056801,0.001363119,0.0003680366,0.00005065962,0.0007025847,0.002309659,0.9224313,0.0008975921,0.0008014305,0.05781214],"study_design_scores_gemma":[0.00005716473,0.00141121,0.02486534,0.00013698,0.0004153628,0.0002480954,0.00033691,0.01847224,0.9466851,0.0004828948,0.006746349,0.000142153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5801857,0.01077457,0.3941898,0.0005301083,0.001241132,0.0008441083,0.004509985,0.001833047,0.005891548],"genre_scores_gemma":[0.5093428,0.005033079,0.4654832,0.0006123562,0.000221616,0.002529503,0.005168543,0.0005202321,0.01108861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007476383,"threshold_uncertainty_score":0.0395394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336365426316266,"score_gpt":0.4036026394033506,"score_spread":0.3602389851401879,"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."}}