{"id":"W2916569676","doi":"10.3390/en12050811","title":"Designing a Large-Scale Lake Cooling System for an Ultra-Deep Mine: A Canadian Case Study","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology; McGill University; University of British Columbia","funders":"","keywords":"Carbon footprint; Mining engineering; Underground mining (soft rock); Exploit; Footprint; Environmental science; Engineering; Greenhouse gas; Geology; Coal mining; Waste management; Computer science; Coal","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002826314,0.0005528759,0.000336385,0.0003640656,0.001871246,0.001052498,0.001164677,0.0007917476,0.004359469],"category_scores_gemma":[0.0004439346,0.0002762841,0.0004192934,0.000518797,0.0009461038,0.0004997039,0.0005936255,0.0004415982,0.0004217101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006267874,"about_ca_system_score_gemma":0.005781957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5102255,"about_ca_topic_score_gemma":0.7113434,"domain_scores_codex":[0.9996331,0.0000445833,0.000008791876,0.00004557089,0.000140478,0.0001274229],"domain_scores_gemma":[0.9997936,0.00003180837,0.0000114578,0.0000125933,0.0001041848,0.00004642023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001370104,0.0007119398,0.02420551,0.001624518,0.00009991565,0.006732666,0.004160535,0.6227711,0.2027227,0.0112639,0.01162434,0.1127128],"study_design_scores_gemma":[0.0005841728,0.003075506,0.07019767,0.0001861238,0.0002581295,0.001342288,0.01021263,0.6796636,0.1136762,0.002388778,0.1181253,0.0002895251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415108,0.0002207061,0.02752006,0.0003493532,0.00003486218,0.00069771,0.0006351134,0.0003304949,0.02870087],"genre_scores_gemma":[0.9699662,0.0001273307,0.01544201,0.0000339968,0.000003039719,0.00008789461,0.0001647595,0.00004732893,0.01412747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4897745,"threshold_uncertainty_score":0.9853178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477925194632622,"score_gpt":0.2398148435425152,"score_spread":0.225035591596189,"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."}}