{"id":"W2027255306","doi":"10.1038/jes.2013.34","title":"Relation between dietary acrylamide exposure and biomarkers of internal dose in Canadian teenagers","year":2013,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Health Canada; Université Laval; Institut National de Santé Publique du Québec","funders":"Health Canada; Institut National de Santé Publique du Québec","keywords":"Urine; Biomonitoring; Hemoglobin; Chemistry; Urinary system; Acrylamide; Creatinine; Carcinogen; Adduct; Population; Physiology; Food science; Medicine; Internal medicine; Biochemistry; Environmental chemistry; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000478271,0.0003129746,0.0004469796,0.001495911,0.001689329,0.001154546,0.001170164,0.0007359711,0.00297448],"category_scores_gemma":[0.002322329,0.0005530693,0.0006304513,0.002410546,0.0004992152,0.0002935768,0.0004506913,0.001051589,0.000261717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007324297,"about_ca_system_score_gemma":0.009353654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9719881,"about_ca_topic_score_gemma":0.97417,"domain_scores_codex":[0.9994035,0.0000432817,0.00003008512,0.00009671669,0.000231378,0.0001949742],"domain_scores_gemma":[0.9983021,0.0001578207,0.0003616563,0.00004259206,0.000760967,0.0003749057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005245252,0.0000419071,0.9975141,0.00001165215,0.00002727238,0.00008159769,0.0004738851,0.00002167671,0.0001662797,0.00004180069,0.0002097448,0.001357624],"study_design_scores_gemma":[0.000004434173,0.00003957405,0.9983541,0.00001790884,0.00003589104,0.00009870371,0.0008242483,0.0001077992,0.00005935507,0.00001247085,0.0004402239,0.000005204839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961507,0.0008904388,0.00006670404,0.0001809157,0.00001118339,0.00001746924,0.0005872697,0.000009516885,0.002085818],"genre_scores_gemma":[0.9976991,0.0004904116,0.0001304795,0.00006021667,0.000003857248,0.0000104582,0.0002579993,0.000004273861,0.001343218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02801192,"threshold_uncertainty_score":0.05635369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929839440802896,"score_gpt":0.2661593550639533,"score_spread":0.2368609606559244,"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."}}