{"id":"W2107606305","doi":"10.1016/j.jclepro.2009.10.020","title":"International guidelines on mercury management in small-scale gold mining","year":2009,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Mining and Resource Management","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Pierre Elliott Trudeau Foundation","keywords":"Mercury (programming language); Gold mining; Stakeholder; Stakeholder engagement; Business; Mercury pollution; SAFER; Environmental planning; Best practice; Risk analysis (engineering); Environmental resource management; Computer science; Public relations; Pollution; Political science; Environmental science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01676712,0.003883288,0.002474178,0.007681023,0.003103605,0.004484915,0.01094391,0.01471374,0.006376984],"category_scores_gemma":[0.01637764,0.00155828,0.005252305,0.00664379,0.004679237,0.003097617,0.005134499,0.009987266,0.004329288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004326409,"about_ca_system_score_gemma":0.02218482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03046376,"about_ca_topic_score_gemma":0.04527809,"domain_scores_codex":[0.9792619,0.004557329,0.005629984,0.0008586776,0.00827113,0.001420932],"domain_scores_gemma":[0.9774645,0.005783494,0.002677872,0.001607878,0.01128846,0.001177745],"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":[0.0003683458,0.001259824,0.004162788,0.009552422,0.0002768829,0.002366788,0.002888786,0.009914724,0.01849436,0.07607383,0.4842811,0.3903601],"study_design_scores_gemma":[0.00007110697,0.0002230964,0.006297948,0.007365193,0.0002722473,0.0006493685,0.000808425,0.001256395,0.004964327,0.01695768,0.9610367,0.00009744992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01423343,0.22916,0.1872639,0.1532838,0.03166933,0.004610856,0.009459929,0.004622466,0.3656962],"genre_scores_gemma":[0.07962026,0.1426887,0.5073061,0.04375648,0.007493502,0.008264568,0.01128431,0.001588394,0.1979977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03046376,"threshold_uncertainty_score":0.08867401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469715788132729,"score_gpt":0.2573750493995631,"score_spread":0.2326778915182358,"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."}}