{"id":"W3015465379","doi":"10.1093/fqsafe/fyaa010","title":"Discrimination of Chuanminshen violaceum Sheh et Shen from different regions based on fatty acid profiles of roots and leaves","year":2020,"lang":"en","type":"article","venue":"Food Quality and Safety","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Education Department of Sichuan Province","keywords":"Fatty acid; Linoleic acid; Chemistry; Botany; Statistical analysis; Biology; Food science; Horticulture; Mathematics; Biochemistry; 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":[0.0003484566,0.0003083275,0.0002148548,0.001489109,0.0005403537,0.0003660233,0.0001610076,0.000306634,0.0005031219],"category_scores_gemma":[0.0002691777,0.0001091129,0.0002748068,0.00110746,0.0002213214,0.0002641744,0.0002931307,0.0002761121,0.00009071775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717666,"about_ca_system_score_gemma":0.0003246741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004749081,"about_ca_topic_score_gemma":0.008665178,"domain_scores_codex":[0.9998034,0.00002492918,0.00001476324,0.0000801624,0.00005182915,0.00002489424],"domain_scores_gemma":[0.9997883,0.00004587423,0.00005493648,0.00001173974,0.00006042708,0.00003874269],"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":[0.000295734,0.00005554722,0.1011457,0.0001573957,0.00005552456,0.0001724187,0.0003520765,0.0004395122,0.8716317,0.0001466487,0.00006656151,0.02548128],"study_design_scores_gemma":[0.00002366567,0.0001985997,0.9454154,0.0000173201,0.00006612505,0.0002005395,0.0005254722,0.00291672,0.04881361,0.00020597,0.001592762,0.00002390049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973079,0.0001431129,0.001627243,0.00002504014,0.000004957079,0.0000163656,0.0003470289,0.00001480811,0.0005135284],"genre_scores_gemma":[0.9957671,0.00008627398,0.00294415,0.00003858459,0.00000342754,0.00002198653,0.0006151911,0.000008154583,0.0005150187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004749081,"threshold_uncertainty_score":0.009442866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04972105247973212,"score_gpt":0.2934315290233748,"score_spread":0.2437104765436426,"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."}}