{"id":"W2064941693","doi":"10.1016/j.foodres.2012.07.048","title":"DNA barcodes for everyday life: Routine authentication of Natural Health Products","year":2012,"lang":"en","type":"article","venue":"Food Research International","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Government of Canada; U.S. Food and Drug Administration; Ontario Genomics Institute; Genome Canada","keywords":"DNA barcoding; Barcode; Ginseng; Biology; Authentication (law); Computational biology; Mitochondrial DNA; DNA; Evolutionary biology; Gene; Genetics; Business; Medicine; Computer science; Computer security","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":[0.001334048,0.00007509217,0.00008546162,0.0001523126,0.0001256077,0.00003114964,0.0003308945,0.0000458026,0.00004539312],"category_scores_gemma":[0.00171579,0.00007191701,0.00005887117,0.0001528794,0.0001193466,0.00001703107,0.00008650852,0.00009867125,0.00002674065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003710755,"about_ca_system_score_gemma":0.0002239609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005618937,"about_ca_topic_score_gemma":0.000005414615,"domain_scores_codex":[0.9985963,0.0001347496,0.0003085319,0.0002421231,0.0004293851,0.0002888773],"domain_scores_gemma":[0.9982929,0.00004289836,0.0001394177,0.0003041026,0.001112289,0.0001083986],"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":[0.0002191896,0.0005250442,0.003320417,0.0001246601,0.0001972186,1.775893e-8,0.0005010249,0.000005544735,0.8763909,0.04442831,0.07230908,0.001978552],"study_design_scores_gemma":[0.0005775726,0.0002706498,0.02411701,0.00002093022,0.000004518642,0.000003536833,0.0001886768,0.0001888447,0.7968664,0.0001624907,0.177482,0.0001173672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684079,0.002330852,0.005906498,0.01821321,0.002695044,0.00119402,0.0003216089,0.0000276979,0.0009032174],"genre_scores_gemma":[0.9931201,0.00007195924,0.001259652,0.00009838111,0.000751432,0.000121412,0.001024209,0.00001527712,0.003537534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051729,"threshold_uncertainty_score":0.293269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314828836264735,"score_gpt":0.4294770980917296,"score_spread":0.2979942144652562,"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."}}