{"id":"W6903232752","doi":"10.1021/jf200048p.s001","title":"Combined Genomic–Metabolomic Approach for the Differentiation of Geographical Origins of Natural Products: Deer Antlers As an Example","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genomics; Identification (biology); Categorization; Metabolomics; Animal species; Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809793,0.0005130175,0.0003418654,0.002247779,0.0003631121,0.0005591316,0.0001691209,0.0004340852,0.001106525],"category_scores_gemma":[0.000316804,0.0001665246,0.0004740239,0.001121024,0.0003226403,0.0003662603,0.0005434526,0.0005388136,0.0004182906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486993,"about_ca_system_score_gemma":0.0002232156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161077,"about_ca_topic_score_gemma":0.004638179,"domain_scores_codex":[0.9998022,0.00004039642,0.00000913132,0.00007469847,0.00004503247,0.0000285579],"domain_scores_gemma":[0.9998343,0.00003967545,0.00002994532,0.00001693312,0.00005511223,0.00002408162],"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":[0.0002862478,0.00008056437,0.01511128,0.0001677955,0.0001035992,0.0002828749,0.0001741638,0.0001832604,0.9561384,0.0001860037,0.0001421638,0.02714368],"study_design_scores_gemma":[0.00004626881,0.0008471702,0.5077402,0.0000659267,0.0007240684,0.003375969,0.001637,0.00828863,0.4589391,0.001773048,0.01643213,0.0001304098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408472,0.004774916,0.04661826,0.0004979699,0.00006402267,0.0002113446,0.003390831,0.0002361235,0.003359246],"genre_scores_gemma":[0.8707891,0.00213534,0.1215478,0.0004401396,0.0000313545,0.0001061822,0.002462273,0.00007006634,0.002417847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002247779,"threshold_uncertainty_score":0.003701687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870618358207329,"score_gpt":0.2469287324579165,"score_spread":0.2182225488758432,"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."}}