{"id":"W4409766410","doi":"10.3390/en18092184","title":"Enhancing Energy Sustainability in Remote Mining Operations Through Wind and Pumped-Hydro Storage; Application to Raglan Mine, Canada","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Hatch; Fonds de recherche du Québec – Nature et technologies","keywords":"Sustainability; Environmental science; Wind power; Waste management; Energy storage; Engineering; Environmental engineering; Power (physics); Electrical engineering","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":[0.0002335403,0.000523956,0.0003713035,0.0004237704,0.0009006702,0.0007374419,0.0006780286,0.0003879509,0.001867156],"category_scores_gemma":[0.0003571582,0.0001492168,0.0002986701,0.0008128738,0.0003811099,0.0003401353,0.0003973803,0.0002737149,0.00009426205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005770406,"about_ca_system_score_gemma":0.004602672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8143985,"about_ca_topic_score_gemma":0.8938115,"domain_scores_codex":[0.999887,0.00001519431,0.000002778475,0.00001586783,0.00004879588,0.00003041191],"domain_scores_gemma":[0.9998586,0.00004044388,0.00001086292,0.000007064164,0.00006273427,0.00002032258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003537091,0.0005743803,0.02376295,0.0004489949,0.00009907268,0.001993216,0.0003156875,0.849255,0.02366846,0.003325292,0.003458393,0.09274483],"study_design_scores_gemma":[0.0001618981,0.0003825268,0.02624259,0.00004134336,0.00006817337,0.0001324632,0.00129786,0.953126,0.01115303,0.001003812,0.006331902,0.00005845213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809226,0.0004910397,0.006341174,0.0002834652,0.00001473744,0.0001215367,0.0004268856,0.0002035162,0.01119497],"genre_scores_gemma":[0.9939634,0.0003216979,0.003424065,0.00001085964,0.000002038008,0.00001252718,0.00009836356,0.00001291969,0.002154165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1856015,"threshold_uncertainty_score":0.3733891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003754571461503842,"score_gpt":0.2120690927252774,"score_spread":0.2083145212637735,"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."}}