{"id":"W3121412465","doi":"","title":"Regulatory and Nonregulatory Strategies for Improving Children's Environmental Health in Canada","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; University of Waterloo; University of Ottawa","funders":"","keywords":"Legislature; Legislation; Environmental health; Public economics; Environmental epidemiology; Health policy; Business; Public health; Political science; Medicine; Economics; Nursing","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":[0.009264665,0.0004865287,0.000433009,0.002748811,0.008068049,0.004211756,0.005183592,0.004321545,0.005048536],"category_scores_gemma":[0.01598357,0.0003759556,0.0008386916,0.002853755,0.004121096,0.001193643,0.003465829,0.00356083,0.0002864573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0876086,"about_ca_system_score_gemma":0.4834896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915292,"about_ca_topic_score_gemma":0.9959247,"domain_scores_codex":[0.9859279,0.002231739,0.0006955281,0.0004923597,0.006057916,0.004594453],"domain_scores_gemma":[0.9830422,0.00254923,0.0009774591,0.0004401027,0.007947668,0.00504327],"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":[0.0002082573,0.0004214222,0.07469132,0.002596646,0.0001187992,0.001548738,0.01472451,0.0041664,0.004789295,0.2283327,0.4141564,0.2542456],"study_design_scores_gemma":[0.0001885459,0.0001848808,0.2103307,0.002552738,0.0001659282,0.0002864063,0.01174198,0.002263983,0.002524661,0.009509715,0.7600442,0.0002063635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1220186,0.04469673,0.00680506,0.5124649,0.003462359,0.001804567,0.004085414,0.0008711548,0.3037913],"genre_scores_gemma":[0.7179851,0.03478807,0.03524411,0.115498,0.000727379,0.001228704,0.002474222,0.0001526019,0.09190185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0876086,"threshold_uncertainty_score":0.6356478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005642364256194851,"score_gpt":0.2479863304795982,"score_spread":0.2423439662234033,"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."}}