{"id":"W2139335903","doi":"","title":"Kava: a test case for Canada's new approach to natural health products.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Medicinal Plant Extracts Effects","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Kava; Test (biology); Health food; Anxiety; Medicine; Environmental health; Advertising; Traditional medicine; Business; Psychiatry; Food science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007812078,0.0004399383,0.0001858944,0.0009456262,0.008261656,0.002557304,0.001674608,0.00633098,0.01154368],"category_scores_gemma":[0.004751706,0.0002312801,0.0004528819,0.0008742382,0.003386532,0.001570574,0.001553408,0.004350595,0.0008452957],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01089852,"about_ca_system_score_gemma":0.01963645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6260275,"about_ca_topic_score_gemma":0.8166736,"domain_scores_codex":[0.9983556,0.0001943276,0.00004865545,0.0001456288,0.0006663245,0.0005893654],"domain_scores_gemma":[0.9980837,0.0007067156,0.0001544536,0.00008088817,0.0005019883,0.0004723211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003087869,0.0006626509,0.06664369,0.0003527769,0.00003615232,0.4337261,0.01883022,0.0005494088,0.002461512,0.1712137,0.2249648,0.08025017],"study_design_scores_gemma":[0.00006463809,0.0002004574,0.02127844,0.0006990621,0.00009819094,0.252397,0.0648854,0.002532088,0.003329335,0.02006222,0.6343495,0.0001038228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2655921,0.004972085,0.004534748,0.3949289,0.002208728,0.0003431092,0.0007963867,0.0001563832,0.3264676],"genre_scores_gemma":[0.8510041,0.004491084,0.005929613,0.06537556,0.0004978472,0.00006553166,0.0002188505,0.0000950466,0.07232235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9891015,"threshold_uncertainty_score":0.7523499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414639617215715,"score_gpt":0.2574118436458937,"score_spread":0.2232654474737366,"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."}}