{"id":"W2806817698","doi":"10.3389/fphar.2018.00666","title":"Molecular Markers Associated With Chemical Analysis: A Powerful Tool for Quality Control Assessment of Copalchi Medicinal Plant Complex","year":2018,"lang":"en","type":"article","venue":"Frontiers in Pharmacology","topic":"Heavy Metals in Plants","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Comisión Nacional de Áreas Naturales Protegidas; Consejo Nacional de Ciencia y Tecnología, Guatemala; Consejo Nacional de Ciencia y Tecnología; Commission for Environmental Cooperation","keywords":"Quality (philosophy); Computational biology; Medicine; Biology; Biotechnology; Traditional medicine; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001361444,0.0002687348,0.001129045,0.0002314642,0.00004324933,0.000008113436,0.0004066895,0.000246988,0.0007452573],"category_scores_gemma":[0.0003089252,0.0002477794,0.0001807704,0.0004219419,0.0005513806,0.0000458746,0.00004811404,0.0003272464,0.00000107431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330219,"about_ca_system_score_gemma":0.0002399589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003046791,"about_ca_topic_score_gemma":0.00001766629,"domain_scores_codex":[0.9973873,0.0003201752,0.000795663,0.0004867445,0.0004255579,0.0005844854],"domain_scores_gemma":[0.9983354,0.0005960178,0.0004644476,0.0002666735,0.0002017159,0.000135697],"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":[0.004544701,0.0007295968,0.3376956,0.0001748551,0.009865835,0.0001033586,0.0001712357,0.0001905321,0.6030931,0.00006967651,0.04297796,0.000383594],"study_design_scores_gemma":[0.0535955,0.001159948,0.1274318,0.0002566898,0.01157847,0.0000389599,0.0008885874,0.2858855,0.5104479,0.0004304597,0.006517721,0.001768556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540592,0.00008582668,0.04183429,0.0001906613,0.0005292108,0.0003981391,0.001060234,0.00004455498,0.001797822],"genre_scores_gemma":[0.9910215,0.000007135863,0.007648473,0.0006328265,0.0001080225,0.00009876765,0.0004241178,0.00002545828,0.00003374062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.285695,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909379099110116,"score_gpt":0.3498765665049839,"score_spread":0.3307827755138828,"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."}}