{"id":"W2063045581","doi":"10.1093/ecam/nek001","title":"The Use of Gene Expression Analysis and Proteomic Databases in The Development of a Screening System To Determine The Value of Natural Medicinal Products","year":2006,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Water Corporation; European Bioinformatics Institute","keywords":"Gene expression; Western blot; Gene; Biology; Computational biology; Database; Genetics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001493226,0.0001445041,0.0003867327,0.0001861597,0.0001658879,0.00001035282,0.0002512437,0.000009757969,0.000002858185],"category_scores_gemma":[0.0002536963,0.00006150911,0.00004096748,0.0005668857,0.0003985433,0.000087471,0.00008344151,0.0001169263,1.722255e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002815459,"about_ca_system_score_gemma":0.00001689963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004992357,"about_ca_topic_score_gemma":0.0006088612,"domain_scores_codex":[0.9979576,0.0004084024,0.0007156032,0.0002478675,0.0005262382,0.0001443071],"domain_scores_gemma":[0.9978769,0.001249327,0.0003978554,0.0003010146,0.000148923,0.00002600313],"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":[0.001002443,0.00007305137,0.05627972,0.0002824943,0.0002079689,0.000005513671,0.00213683,0.0002159676,0.9249387,0.0001483927,0.0003544496,0.01435444],"study_design_scores_gemma":[0.0004844345,0.000261605,0.06047652,0.003173528,0.000401316,0.000003555024,0.001021511,0.01314247,0.9207823,0.00002739632,0.0001394614,0.00008593233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816974,0.00131884,0.01046226,0.005887788,0.000034685,0.0005751964,0.00001595804,0.000006415342,0.000001503703],"genre_scores_gemma":[0.9661828,0.00001548135,0.03343688,0.000203202,0.00009431235,0.00001881483,0.00004250425,0.000004308011,0.000001733943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02297462,"threshold_uncertainty_score":0.7546985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205043486330669,"score_gpt":0.3334373758306493,"score_spread":0.2129330271975824,"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."}}