{"id":"W4388796175","doi":"10.3390/su152216086","title":"Water Impacts and Effluent Quality Regulations of Canadian Mining","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Mining and Resource Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nazarbayev University","keywords":"Tailings; Effluent; Water quality; Coal mining; Environmental science; Mineral resource classification; Water resources; Natural resource economics; Business; Coal; Environmental engineering; Waste management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006225837,0.0002254585,0.0002015156,0.001510864,0.001664809,0.001338568,0.0008112538,0.0003699092,0.001511642],"category_scores_gemma":[0.002842795,0.0001608762,0.0003978297,0.004559019,0.000868597,0.0003702313,0.0007013779,0.0005452758,0.00008802438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0406232,"about_ca_system_score_gemma":0.04271198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99511,"about_ca_topic_score_gemma":0.9982108,"domain_scores_codex":[0.9983612,0.0000806792,0.00005681078,0.0001228855,0.0009373534,0.0004411353],"domain_scores_gemma":[0.9973618,0.0001719268,0.000630824,0.00006232158,0.001576782,0.0001962687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002581575,0.0001683529,0.9310243,0.0002431571,0.0001411806,0.0004706265,0.00207448,0.004744342,0.006360836,0.003238047,0.007835371,0.04344125],"study_design_scores_gemma":[0.00000279624,0.0000143445,0.9931782,0.00001809132,0.00001488532,0.00002275736,0.000955807,0.0005257766,0.0005957597,0.00008449991,0.004571895,0.00001524713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785587,0.0007527756,0.0002227243,0.001248006,0.00001180112,0.00003752316,0.004193201,0.00002267815,0.01495266],"genre_scores_gemma":[0.9946448,0.000755201,0.0002832779,0.000162133,0.00000392765,0.000008398338,0.001436105,0.000008199216,0.002697915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0406232,"threshold_uncertainty_score":0.2947434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351968959105466,"score_gpt":0.2509288804880673,"score_spread":0.2374091908970126,"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."}}