{"id":"W2891498481","doi":"10.1080/19440049.2018.1508891","title":"Analysis of perchlorate in baby food on Canadian (Ottawa) markets in 2009 and estimated dietary exposure","year":2018,"lang":"en","type":"article","venue":"Food Additives & Contaminants Part A","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada","keywords":"Perchlorate; Baby food; Food science; Chemistry; Isotope dilution; Food composition data; Mass spectrometry; Chromatography","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":[0.0004564255,0.0006334266,0.0004165556,0.001699934,0.002768659,0.00140794,0.001141019,0.0004319645,0.002233053],"category_scores_gemma":[0.0007351391,0.0005058033,0.0003949143,0.003072562,0.0008124224,0.0003572546,0.000652615,0.0004954429,0.0003521095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02754857,"about_ca_system_score_gemma":0.01508441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932491,"about_ca_topic_score_gemma":0.9978328,"domain_scores_codex":[0.9991817,0.00003525465,0.00002878131,0.0001446298,0.0004316227,0.0001778915],"domain_scores_gemma":[0.9988086,0.0000275245,0.0001378849,0.00002356186,0.0008889879,0.0001134381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005085351,0.00007496423,0.9559386,0.0002422718,0.0001282401,0.0005787088,0.002752209,0.0003088221,0.0201687,0.0002443977,0.003262135,0.01579249],"study_design_scores_gemma":[0.000004109397,0.00004185011,0.9920675,0.0000252319,0.00003121017,0.0001271459,0.001455452,0.0001917245,0.001630932,0.00001358078,0.004389749,0.00002166133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847836,0.001043184,0.0003307635,0.0001606913,0.00001465775,0.00009809132,0.007493638,0.00002697211,0.006048495],"genre_scores_gemma":[0.9834706,0.0009214028,0.001621388,0.0001942964,0.000006671367,0.00004839253,0.005023883,0.00002109817,0.008692263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02754857,"threshold_uncertainty_score":0.1998798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828080669890639,"score_gpt":0.2391381465219059,"score_spread":0.2208573398229995,"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."}}