{"id":"W2059359890","doi":"10.1063/1.4712055","title":"Sustainable heat extraction from abandoned mine tunnels: A numerical model","year":2012,"lang":"en","type":"article","venue":"Journal of Renewable and Sustainable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Mitacs","keywords":"Geothermal gradient; Mining engineering; Environmental science; Extraction (chemistry); Rock mass classification; Geothermal heating; Geotechnical engineering; Engineering; Geology; Geothermal energy; Geophysics","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":[0.0002335247,0.0005145704,0.0006837092,0.0003856917,0.0007671341,0.001233728,0.001366465,0.002179609,0.002723839],"category_scores_gemma":[0.0008621772,0.0004262152,0.0007723678,0.0007217395,0.001142773,0.0006196405,0.000824923,0.0006866421,0.00031142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506769,"about_ca_system_score_gemma":0.001773211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04950916,"about_ca_topic_score_gemma":0.0189619,"domain_scores_codex":[0.9998672,0.00002705098,0.000007249342,0.000027799,0.00003862006,0.00003200741],"domain_scores_gemma":[0.9996731,0.0001586605,0.00004556693,0.00001892755,0.00007370859,0.00002999785],"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":[0.00001216915,0.00001003458,0.0003488094,0.00001264134,0.000002749569,0.00004392134,0.00001528898,0.9975915,0.0005101117,0.0009068955,0.00008299817,0.0004629675],"study_design_scores_gemma":[0.000007968961,0.000008440653,0.0001226679,0.0000035107,0.000002075769,0.000008848901,0.00001525462,0.9991215,0.0001232291,0.0003264693,0.000256354,0.000003723951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6571997,0.000788124,0.252885,0.0009630809,0.000161965,0.0003038741,0.001957006,0.0006528441,0.0850884],"genre_scores_gemma":[0.9769792,0.0003023578,0.0105392,0.00006153514,0.0000179735,0.0002199281,0.0003770097,0.00004341851,0.01145934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04950916,"threshold_uncertainty_score":0.09844196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054113235136618,"score_gpt":0.2338277640048503,"score_spread":0.2232866316534841,"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."}}