{"id":"W2006058394","doi":"10.1093/ecam/neq050","title":"Epigenetics in Traditional Chinese Pharmacy: A Bioinformatic Study at Pharmacopoeia Scale","year":2010,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Science Council","keywords":"Pharmacy; Pharmacopoeia; Scale (ratio); Traditional medicine; Medicine; Alternative medicine; Geography; Family medicine; Cartography; Pathology","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":[0.0004780994,0.0002005654,0.0002589616,0.002727774,0.0005708144,0.0006539523,0.000229644,0.0002047728,0.003895097],"category_scores_gemma":[0.0009660899,0.00008913267,0.0004652335,0.004943804,0.0003008337,0.0003969493,0.0003732078,0.0002754151,0.0005000705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000666769,"about_ca_system_score_gemma":0.001072841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006114445,"about_ca_topic_score_gemma":0.006404404,"domain_scores_codex":[0.9997116,0.00003957068,0.00002798069,0.00009209781,0.00009981566,0.00002888205],"domain_scores_gemma":[0.9994951,0.0001446677,0.0001559142,0.00003744269,0.000127211,0.00003953439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005924177,0.0002722765,0.3134663,0.002057233,0.0004004045,0.001536563,0.002159157,0.003304406,0.08132543,0.006474352,0.006299011,0.5821124],"study_design_scores_gemma":[0.00003326832,0.0001859836,0.9295171,0.00009413352,0.0004797479,0.001493789,0.0009509497,0.015258,0.008473047,0.002452932,0.04099048,0.00007063088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491843,0.01033269,0.01386543,0.002225115,0.00006960412,0.0002028693,0.009395279,0.0003316164,0.01439307],"genre_scores_gemma":[0.9641894,0.005262997,0.01871031,0.0004725627,0.00009699127,0.0000913456,0.006713544,0.00005931321,0.004403425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006114445,"threshold_uncertainty_score":0.01303041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06317810197122736,"score_gpt":0.3540893728205232,"score_spread":0.2909112708492958,"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."}}