{"id":"W2321888244","doi":"10.14288/1.0042683","title":"Regulatory considerations for historic mine remediation in BC : Atlin Ruffner Mill and Tailings case study","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tailings; Mill; Environmental remediation; Mining engineering; Copper mine; Environmental science; Waste management; Engineering; Metallurgy; Contamination","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":[0.0007687272,0.0003266933,0.0002345885,0.0009867342,0.008393548,0.00229224,0.001628366,0.00217664,0.003903827],"category_scores_gemma":[0.001323557,0.0002510302,0.0002250665,0.00161101,0.001245383,0.0004986295,0.001065214,0.001313192,0.0003616549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01486948,"about_ca_system_score_gemma":0.01555119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7104302,"about_ca_topic_score_gemma":0.9147825,"domain_scores_codex":[0.9983199,0.0002230102,0.00005182208,0.0001079318,0.0007896708,0.0005077325],"domain_scores_gemma":[0.998874,0.0002204826,0.0001159565,0.00004816843,0.0004937298,0.0002476307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000819696,0.001803244,0.2542463,0.001173865,0.0001341454,0.1917037,0.03324456,0.04974872,0.03890363,0.05883811,0.06866717,0.3007169],"study_design_scores_gemma":[0.0001558324,0.001257904,0.211844,0.0005498363,0.0001640876,0.03640023,0.1214953,0.02600913,0.01857359,0.007482428,0.5758388,0.0002288132],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8127412,0.001146267,0.003155912,0.005745321,0.00007287351,0.0004515941,0.0003318981,0.00009052957,0.1762644],"genre_scores_gemma":[0.939862,0.001062419,0.004139411,0.001173231,0.00002669402,0.00006552588,0.0001456247,0.00002488268,0.05350034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2895698,"threshold_uncertainty_score":0.5825502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0090459959776296,"score_gpt":0.1630088789208513,"score_spread":0.1539628829432217,"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."}}