{"id":"W2750895838","doi":"10.1016/j.foodchem.2017.08.107","title":"Cross priming amplification with nucleic acid test strip analysis of mutton in meat mixtures","year":2017,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Niagara College","funders":"","keywords":"Detection limit; Nucleic acid; Processed meat; Loop-mediated isothermal amplification; Raw meat; Nucleic acid test; Food science; Chemistry; Chromatography; Biology; Molecular biology; Biochemistry; DNA; 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":[0.001115296,0.0009402488,0.0004628173,0.001045658,0.0003858145,0.0003740577,0.0004001153,0.0007235114,0.002272861],"category_scores_gemma":[0.001472364,0.0006271812,0.0005865932,0.0005426381,0.000599966,0.0003190688,0.000731897,0.001066464,0.001130624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590666,"about_ca_system_score_gemma":0.0003589995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965489,"about_ca_topic_score_gemma":0.0005683364,"domain_scores_codex":[0.9985541,0.0004094523,0.0000898728,0.0005008146,0.0002677268,0.0001780383],"domain_scores_gemma":[0.9987186,0.0005330408,0.0001695976,0.0001566538,0.0002960149,0.0001260738],"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":[0.0001016985,0.00002326896,0.0005737288,0.00003921221,0.000006754093,0.00003872623,0.00006435677,0.00004202979,0.9968477,0.0001117211,0.00003278579,0.002118001],"study_design_scores_gemma":[0.000004835088,0.0001976156,0.003964562,0.00001253877,0.00002273001,0.0001739851,0.00003106586,0.001040012,0.993632,0.0001057632,0.0008086514,0.000006283163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7922558,0.001051347,0.1994622,0.0001980593,0.0001652806,0.0003193125,0.0005521629,0.0009825244,0.005013426],"genre_scores_gemma":[0.8027864,0.0007358972,0.1843328,0.0003788978,0.0000568641,0.0007496483,0.002228957,0.0002303414,0.008500269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002272861,"threshold_uncertainty_score":0.007603526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205466724794276,"score_gpt":0.2896512497957365,"score_spread":0.2691045773163089,"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."}}