{"id":"W2130930944","doi":"10.1139/y07-110","title":"Modulation of immune response gene expression by echinacea extracts: results of a gene array analysisThis article is one of a selection of papers published in this special issue (part 2 of 2) on the Safety and Efficacy of Natural Health Products.","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Herbal Medicine Research Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of Ottawa; University of British Columbia","funders":"","keywords":"Echinacea (animal); Gene expression; Immune system; Selection (genetic algorithm); Biology; Gene; Computational biology; Immune modulation; Genetics; Bioinformatics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003125617,0.0001061677,0.0008352987,0.0004787915,0.00004715315,6.873037e-7,0.00009127955,0.00008653245,0.0005730297],"category_scores_gemma":[0.001656252,0.00007516576,0.00006866272,0.0004726767,0.0006110565,0.00006018233,0.00001297681,0.0003868778,5.943255e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009490675,"about_ca_system_score_gemma":0.0006557918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227365,"about_ca_topic_score_gemma":0.0005253072,"domain_scores_codex":[0.9975224,0.0006709588,0.001202096,0.000158977,0.0002123107,0.0002332727],"domain_scores_gemma":[0.9972212,0.0007778597,0.001158775,0.0001282055,0.0005465646,0.0001673918],"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":[0.0254779,0.0002490378,0.001749393,0.0002720055,0.0002908746,0.000004222602,0.00350686,0.00005061295,0.9638585,0.000002850108,0.002943913,0.001593826],"study_design_scores_gemma":[0.003083935,0.001999741,0.2139723,0.0001837635,0.00007855452,0.00001037289,0.0002271953,0.00003813719,0.7799013,0.00001166889,0.0004593273,0.00003374829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910892,0.001724084,0.000004524852,0.006627821,0.0001306775,0.0003046727,0.00005314344,7.397023e-7,0.00006517315],"genre_scores_gemma":[0.9986363,0.0007712375,0.0001846169,0.0001282463,0.0002243827,9.178293e-7,0.000008157817,0.000005787382,0.00004033079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2122229,"threshold_uncertainty_score":0.6274274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782775172518615,"score_gpt":0.3189167696665496,"score_spread":0.3010890179413635,"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."}}