{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003865168,0.0006969699,0.001368811,0.004076194,0.0006810899,0.001834231,0.0006780589,0.0006154522,0.0008393676],"category_scores_gemma":[0.004452753,0.0004828274,0.0005208498,0.00283725,0.0003796055,0.002043846,0.0006768503,0.0006409853,0.000712722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006879705,"about_ca_system_score_gemma":0.0009260177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008988489,"about_ca_topic_score_gemma":0.0009291309,"domain_scores_codex":[0.9984834,0.0004372806,0.0003042814,0.0002894331,0.0004148833,0.00007079745],"domain_scores_gemma":[0.9969832,0.001774265,0.0003733356,0.0002277597,0.0004967854,0.00014463],"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":[0.002395279,0.0009712486,0.01162661,0.001395704,0.0002472944,0.001208404,0.0004879569,0.003124749,0.7958329,0.004944136,0.001962222,0.1758034],"study_design_scores_gemma":[0.0002684254,0.001498888,0.02668236,0.0002136607,0.0004026606,0.003143563,0.0005479415,0.1197364,0.817422,0.008427047,0.02142035,0.0002368227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.424994,0.003805445,0.5387896,0.001303543,0.0001167095,0.00220386,0.01273149,0.01016351,0.005891681],"genre_scores_gemma":[0.2952312,0.001887632,0.6900102,0.0003581875,0.00005034394,0.001497738,0.009367534,0.0001827853,0.00141437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004076194,"threshold_uncertainty_score":0.02044117,"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."}}