{"id":"W2093815695","doi":"10.1139/y09-021","title":"Selection of natural health products for clinical trials: a preclinical template","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Herbal Medicine Research Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia; University of Ottawa; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health Canada","keywords":"Echinacea (animal); Phytochemical; Immunostimulant; Traditional medicine; Pharmacology; Population; Immune system; Medicine; Biology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005258857,0.00009569849,0.001137606,0.0001999553,0.00009190125,0.00000155634,0.00007072296,0.0001009172,0.00009644601],"category_scores_gemma":[0.005030227,0.00006730507,0.0001309701,0.000133052,0.0003515339,0.00003925842,0.000005623172,0.000642408,6.744975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005601932,"about_ca_system_score_gemma":0.002797633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009988539,"about_ca_topic_score_gemma":0.0001622013,"domain_scores_codex":[0.9973565,0.001024039,0.00105632,0.0001604798,0.00006987619,0.000332757],"domain_scores_gemma":[0.9967974,0.00155543,0.0005279045,0.00005153313,0.0005150459,0.0005527192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006666798,0.0003097713,0.01039841,0.0008033168,0.001326089,0.00005918935,0.0004682307,0.000002716551,0.5757442,0.000122519,0.3191107,0.0849881],"study_design_scores_gemma":[0.03157707,0.07214679,0.6544375,0.0005751395,0.001425897,0.00169956,0.0002124918,0.0004959065,0.08894433,0.003631641,0.1444732,0.0003804452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375295,0.008694047,0.00002148812,0.0514297,0.001551799,0.0007289511,0.00001310099,0.000004154047,0.00002725581],"genre_scores_gemma":[0.9922414,0.001711416,0.0005187331,0.003506297,0.001946575,0.000004235444,0.000003961555,0.000005148726,0.00006224232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6440392,"threshold_uncertainty_score":0.6022015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2729456482580165,"score_gpt":0.5707722516449921,"score_spread":0.2978266033869756,"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."}}