{"id":"W2020386356","doi":"10.1016/j.apenergy.2013.07.060","title":"Hot water generation for oil sands processing from enhanced geothermal systems: Process simulation for different hydraulic fracturing scenarios","year":2013,"lang":"en","type":"article","venue":"Applied Energy","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Oil sands; Hydraulic fracturing; Natural gas; Unconventional oil; Petroleum engineering; Greenhouse gas; Fossil fuel; Environmental science; Geothermal gradient; Geothermal energy; Geology; Extraction (chemistry); Waste management; Environmental engineering; Mining engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000631979,0.0002984466,0.0003443804,0.0001067287,0.0002160536,0.0002074508,0.0001569257,0.0001948895,0.00004615156],"category_scores_gemma":[0.000007769446,0.0002169907,0.0001069623,0.00006462047,0.00001534067,0.0001648316,0.00001629646,0.00008999428,0.000008832521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008748032,"about_ca_system_score_gemma":0.00001062854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675341,"about_ca_topic_score_gemma":0.00005778163,"domain_scores_codex":[0.9985889,0.00001070608,0.0003945518,0.0003688815,0.000192437,0.0004445604],"domain_scores_gemma":[0.9994347,0.00007735015,0.00007154194,0.0002296512,0.00008995175,0.00009680854],"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":[0.00002564527,0.00002385496,0.000001364988,0.0002652675,0.00009268272,1.054078e-7,0.000490709,0.8486142,0.1199776,0.000004721383,0.00004006793,0.03046369],"study_design_scores_gemma":[0.0006315185,0.00001169127,0.00001398169,0.00003015356,0.00004502872,1.156729e-7,0.00006553182,0.6701882,0.3274461,0.00008146169,0.001254317,0.0002318691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5529832,0.0001588873,0.4458918,0.00002823989,0.000141656,0.0002181745,0.000006946459,0.0002216549,0.0003495183],"genre_scores_gemma":[0.9953638,0.00001688245,0.0003413893,0.00007954706,0.001063708,0.00225795,0.0004816598,0.00009801931,0.0002969886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4455504,"threshold_uncertainty_score":0.8848625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009645898857823916,"score_gpt":0.2153221583318719,"score_spread":0.205676259474048,"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."}}