{"id":"W2537892184","doi":"10.1016/j.ijheh.2016.10.007","title":"A review of human biomonitoring data used in regulatory risk assessment under Canada's Chemicals Management Program","year":2016,"lang":"en","type":"review","venue":"International Journal of Hygiene and Environmental Health","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Biomonitoring; Risk assessment; Human health; Environmental health; Environmental planning; Government (linguistics); Triclosan; Business; Risk analysis (engineering); Risk management; Environmental resource management; Environmental protection; Environmental science; Medicine; Computer science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029604,0.0002713995,0.0009812192,0.00009756085,0.00004783424,0.00001588212,0.0009485684,0.00005758441,0.000131895],"category_scores_gemma":[0.00001972854,0.0001856483,0.0001454237,0.00007852504,0.000139006,0.0001656706,0.0008418187,0.0003190252,0.000002376529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163635,"about_ca_system_score_gemma":0.000131191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168575,"about_ca_topic_score_gemma":0.001678134,"domain_scores_codex":[0.9970088,0.000168281,0.001347934,0.0003696117,0.0008327489,0.0002726527],"domain_scores_gemma":[0.9976315,0.0001183117,0.001656983,0.0004080908,0.000007068352,0.0001780682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003765157,0.0002678551,0.001699955,0.006146249,0.000170471,0.00004736314,0.000006197146,0.000001808015,0.00003394745,0.000005576508,0.001960662,0.9896562],"study_design_scores_gemma":[0.0007075858,0.0001793773,0.003141626,0.1025927,0.0001879569,0.0001442635,0.00004948323,0.000005649787,0.00003400658,0.00004789629,0.892594,0.0003154773],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005337972,0.9931509,0.000005977337,0.0002640284,0.0002409718,0.0005417856,0.0002611646,0.000004216932,0.0001929664],"genre_scores_gemma":[0.004027047,0.9947761,0.0007225484,0.0001245876,0.0001126978,0.000014977,0.0001548628,0.00002464288,0.00004256642],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9893407,"threshold_uncertainty_score":0.9948955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03310434648391537,"score_gpt":0.449582948932482,"score_spread":0.4164786024485667,"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."}}