{"id":"W3135831677","doi":"10.1038/s41370-021-00308-6","title":"Lead in children’s jewelry: the impact of regulation","year":2021,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lead (geology); Enforcement; Lead exposure; Business; Government (linguistics); Environmental health; Lead poisoning; Operations management; Engineering; Medicine; Political science; Telecommunications; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211387,0.0001404954,0.0002182262,0.0009386914,0.001068051,0.002035035,0.0006527453,0.0009658594,0.003149112],"category_scores_gemma":[0.004104412,0.0001745854,0.0002885041,0.001149686,0.001860636,0.0006912582,0.0008009478,0.0009847943,0.000226318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003812451,"about_ca_system_score_gemma":0.004333032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3149745,"about_ca_topic_score_gemma":0.3392482,"domain_scores_codex":[0.9984643,0.0005384505,0.00007197321,0.0001630701,0.0003702171,0.0003919885],"domain_scores_gemma":[0.9984174,0.0003678664,0.000341506,0.0001082493,0.000609587,0.0001554074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004109843,0.0002461818,0.8612967,0.0001476755,0.00009101295,0.001596306,0.009018223,0.0002490315,0.001528198,0.02053229,0.00731136,0.09757207],"study_design_scores_gemma":[0.00003090621,0.0002113462,0.9317297,0.0003979641,0.0001280128,0.001701335,0.01508112,0.0003267138,0.00108745,0.00414888,0.0451212,0.00003552956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9438889,0.01170479,0.0003075678,0.01685011,0.0001467388,0.00001443637,0.0002185599,0.00001360745,0.02685527],"genre_scores_gemma":[0.9913387,0.003744726,0.000174573,0.001146112,0.00006139403,0.000005686286,0.00006857351,0.000008099202,0.003452214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3149745,"threshold_uncertainty_score":0.6262823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928924778964371,"score_gpt":0.3021748076279337,"score_spread":0.28288555983829,"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."}}