{"id":"W4293169266","doi":"10.1021/bk-2021-1384.ch002","title":"Regulatory Use of Generic Exposure Data for Pest Control Products: The Canadian Perspective","year":2021,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Agency (philosophy); Hazard; Risk analysis (engineering); Standardization; Business; Risk assessment; Regulatory agency; Regulatory science; Human health; Exposure assessment; Pest control; Integrated pest management; Environmental planning; Environmental resource management; Environmental health; Computer science; Medicine; Geography; Computer security; Environmental science; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1764602,0.002057668,0.003464791,0.01175857,0.007245704,0.01681521,0.01863674,0.01301365,0.008013695],"category_scores_gemma":[0.1744977,0.00193322,0.003578661,0.01406415,0.01664067,0.008852684,0.005628503,0.01637561,0.001547403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1047507,"about_ca_system_score_gemma":0.3063423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9480859,"about_ca_topic_score_gemma":0.9195951,"domain_scores_codex":[0.84158,0.03471692,0.01211798,0.01122485,0.09340781,0.006952466],"domain_scores_gemma":[0.59206,0.07501964,0.0141254,0.01781874,0.2898794,0.01109676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003147321,0.0002601511,0.008297859,0.005497039,0.0003726927,0.0007100158,0.003793801,0.004364549,0.003081262,0.2967025,0.4733487,0.2032568],"study_design_scores_gemma":[0.00006519,0.0001367204,0.01135537,0.004828818,0.0002119418,0.0002604518,0.001016731,0.0009871529,0.0008011548,0.01599962,0.9641207,0.0002161649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005710936,0.1414903,0.02969443,0.531975,0.009827255,0.001190857,0.01444273,0.001128443,0.2645399],"genre_scores_gemma":[0.1720045,0.2429023,0.1046229,0.4050851,0.007904849,0.001546998,0.01452832,0.001430278,0.04997472],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1764602,"threshold_uncertainty_score":0.9332217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875326608241878,"score_gpt":0.2180442038893676,"score_spread":0.1692909378069488,"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."}}