{"id":"W2073893870","doi":"10.1080/15459620590923343","title":"The Validation of a Pesticide Exposure Algorithm Using Biological Monitoring Results","year":2005,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Hygiene","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Pesticide; Urine; MCPA; Personal protective equipment; Mixing (physics); Natural rubber; Occupational exposure; Exposure assessment; Algorithm; Toxicology; Environmental science; Medicine; Mathematics; Statistics; Chemistry; Biology; Environmental health; Agronomy; Coronavirus disease 2019 (COVID-19); Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003291574,0.00007307695,0.0001099075,0.000009936784,0.0001675173,0.00001852949,0.00009573255,0.00004494261,0.00002005429],"category_scores_gemma":[0.00006094693,0.00002498784,0.00005819492,0.00005457062,0.00008891463,0.0001441953,0.0000366993,0.00008138571,0.000001090742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000319118,"about_ca_system_score_gemma":0.000005856028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009504618,"about_ca_topic_score_gemma":0.000001759097,"domain_scores_codex":[0.999148,0.00004874798,0.000379918,0.00008206406,0.0002383873,0.0001028978],"domain_scores_gemma":[0.9993396,0.0002612093,0.0002959018,0.00002333159,0.00002283323,0.00005712445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003808129,0.0001789157,0.2798888,0.000001374078,0.00002932613,0.000005203483,0.00007765692,0.0008688215,0.404832,0.00002151225,0.00002287265,0.3136927],"study_design_scores_gemma":[0.0002243027,0.0003832389,0.9583651,0.00001562758,0.00001329999,0.00007698352,0.0001595404,0.0004283795,0.03934244,0.0001259137,0.0008052088,0.00005994884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991395,0.0004024934,0.0001017332,0.0001808857,0.00007285344,0.00003614003,0.00004466823,0.000002312057,0.00001944537],"genre_scores_gemma":[0.9968592,0.0002226801,0.002372719,0.00001491799,0.0005025631,5.583971e-7,0.00001256293,4.686217e-7,0.0000143435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6784763,"threshold_uncertainty_score":0.1288425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184959176947415,"score_gpt":0.2620641215211375,"score_spread":0.2202145297516634,"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."}}