{"id":"W2913587515","doi":"10.1016/j.eiar.2019.01.002","title":"Assessing the effects of a Canadian-Mongolian capacity building program for health and environmental impact assessment in the mining sector","year":2019,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Mining and Resource Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Waterloo","funders":"Canadian International Development Agency","keywords":"Photovoice; Environmental justice; Indigenous; Health impact assessment; Perspective (graphical); Sociology; Economic Justice; Race (biology); Political science; Environmental ethics; Public relations; Environmental planning; Economic growth; Public health; Geography; Ecology; Gender studies; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007809339,0.0005679969,0.0003599054,0.001240562,0.001149446,0.001569905,0.0019809,0.0008149577,0.001106987],"category_scores_gemma":[0.006229975,0.0001473453,0.0007653768,0.001974784,0.0006847375,0.0006081632,0.001315314,0.0007621621,0.0000597272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03955742,"about_ca_system_score_gemma":0.1298851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9191799,"about_ca_topic_score_gemma":0.9666132,"domain_scores_codex":[0.9960407,0.001181463,0.0001044385,0.0001445242,0.001436228,0.001092558],"domain_scores_gemma":[0.9940356,0.001261438,0.0006411047,0.0001141207,0.003082904,0.0008649348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00149237,0.001551734,0.1026762,0.01410899,0.002467519,0.0004055153,0.002178403,0.05002326,0.005004126,0.02663163,0.02463692,0.7688233],"study_design_scores_gemma":[0.0005810618,0.002821443,0.763834,0.01152385,0.004056768,0.0002184864,0.009157265,0.01478792,0.006680747,0.002780282,0.1833632,0.0001951058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6716999,0.2177659,0.003127609,0.02507497,0.0008408254,0.001798459,0.002332944,0.0001237747,0.07723553],"genre_scores_gemma":[0.9413999,0.04882482,0.003357807,0.001631538,0.00006312764,0.0001786168,0.0007329863,0.000009276662,0.00380194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08082014,"threshold_uncertainty_score":0.2870104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515567939880284,"score_gpt":0.3232268243151618,"score_spread":0.308071144916359,"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."}}