{"id":"W1979161247","doi":"10.1016/j.clinthera.2007.08.018","title":"Interaction Between Warfarin and Cranberry Juice","year":2007,"lang":"en","type":"article","venue":"Clinical Therapeutics","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; CRANBERRY JUICE; Warfarin; Fruit juice; Pharmacology; Food science; Internal medicine; Atrial fibrillation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007624232,0.0006312486,0.003079851,0.000412327,0.0005521246,0.0009664333,0.0004688127,0.001575345,0.007404836],"category_scores_gemma":[0.004906754,0.0004405003,0.001130579,0.0002450487,0.0006484075,0.0006697449,0.0005735803,0.001516293,0.0005832226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006818349,"about_ca_system_score_gemma":0.001487371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00394229,"about_ca_topic_score_gemma":0.005275353,"domain_scores_codex":[0.9988347,0.0007476812,0.00006002991,0.0001090698,0.0001121194,0.000136461],"domain_scores_gemma":[0.9980441,0.00121275,0.0001909222,0.00009497226,0.00005071113,0.000406439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.8312046,0.008829088,0.01533221,0.001092741,0.003920395,0.001695289,0.0002333043,0.0007245105,0.03659972,0.0005654951,0.005655595,0.09414715],"study_design_scores_gemma":[0.1995471,0.4108757,0.2550822,0.0003853932,0.007784185,0.005407167,0.0007782277,0.007881547,0.07259014,0.001537975,0.03778172,0.0003486682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769821,0.01409143,0.0003140881,0.001870741,0.0006852298,0.0002381927,0.0004965578,0.0001354505,0.005186258],"genre_scores_gemma":[0.9929327,0.002707929,0.0006291404,0.000471839,0.0004488892,0.00008755332,0.0002978958,0.00001596492,0.002408142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007404836,"threshold_uncertainty_score":0.02477163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3723215522173493,"score_gpt":0.5175486288675837,"score_spread":0.1452270766502344,"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."}}