{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006081564,0.00006973741,0.0001085184,0.0003157759,0.000066267,0.00001284227,0.00004905292,0.00003893503,0.00002344205],"category_scores_gemma":[0.0001677003,0.00005590118,0.00002642245,0.00031366,0.00005089051,0.00002626214,0.00003795783,0.00004588014,0.00000366151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103881,"about_ca_system_score_gemma":0.00003773404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01508903,"about_ca_topic_score_gemma":0.005753171,"domain_scores_codex":[0.9993148,0.00003520071,0.0001702265,0.0001109599,0.00008122712,0.0002875165],"domain_scores_gemma":[0.9995305,0.00004038114,0.000009673606,0.0002205249,0.00007526342,0.0001236772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003449614,0.00006529097,0.5033576,0.01021276,0.0002920938,0.00006032445,0.1108562,0.3103818,0.001894465,0.009410469,0.01959322,0.0338412],"study_design_scores_gemma":[0.0001889319,0.0000211874,0.9553452,0.00002022416,0.00001351214,6.214325e-7,0.007546662,0.007423859,0.0007617309,0.0009396009,0.02757766,0.0001608659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958164,0.00003508189,0.00001824546,0.0007419027,0.00004772513,0.0001475378,0.000007937771,0.0001306384,0.003054509],"genre_scores_gemma":[0.9994769,0.000006953253,0.00004138413,0.000008335584,0.00001337806,0.000009389858,0.00001337004,0.000009276313,0.000421047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4519875,"threshold_uncertainty_score":0.9914696,"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."}}