{"id":"W2985197001","doi":"10.1016/j.dib.2019.104787","title":"Data on the endogenous conversion of tyrosol into hydroxytyrosol in humans","year":2019,"lang":"en","type":"article","venue":"Data in Brief","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"H2020 Marie Skłodowska-Curie Actions; Instituto de Salud Carlos III; Canadian Institutes of Health Research; Generalitat de Catalunya; Instituto Nacional de Ciberseguridad; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; Canada Research Chairs","keywords":"Hydroxytyrosol; Tyrosol; Endogeny; Crossover study; Randomized controlled trial; Medicine; Internal medicine; Pharmacology; Placebo; Biology; Food science; Biochemistry; Polyphenol; Pathology","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":[0.003946616,0.0008265824,0.001588801,0.0006472647,0.0002812473,0.0008099661,0.0005812764,0.001505362,0.006621431],"category_scores_gemma":[0.006564971,0.0003419032,0.001473387,0.001445098,0.0005774433,0.0005333328,0.0003599524,0.001240436,0.001139316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000386043,"about_ca_system_score_gemma":0.0005503283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109574,"about_ca_topic_score_gemma":0.001172234,"domain_scores_codex":[0.9977325,0.0009810341,0.00032146,0.0004672277,0.0004185982,0.00007911296],"domain_scores_gemma":[0.9901645,0.005525909,0.002316073,0.0009258186,0.0007000165,0.0003677414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.3850214,0.003103961,0.07016564,0.02350041,0.02114893,0.0007188692,0.0003003641,0.001115871,0.05003669,0.002395835,0.04652544,0.3959666],"study_design_scores_gemma":[0.04079163,0.05943492,0.5424213,0.005419326,0.04098681,0.005840272,0.0002642788,0.0005312693,0.04112532,0.004836764,0.2579578,0.000390197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"dataset","genre_scores_codex":[0.2373374,0.6847025,0.004451651,0.007358746,0.001886622,0.0003577437,0.04721889,0.0001536589,0.0165328],"genre_scores_gemma":[0.6605662,0.2798403,0.003762705,0.01005117,0.003079441,0.0008477668,0.03607418,0.0001207217,0.005657537],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006621431,"threshold_uncertainty_score":0.02215087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2463902788206263,"score_gpt":0.4306763440791141,"score_spread":0.1842860652584878,"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."}}