{"id":"W4378229733","doi":"10.3997/2214-4609.2023101116","title":"Assessing the impact of hierarchical geological heterogeneities on geothermal energy production.","year":2023,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Petrobras; Energi Simulation","keywords":"Geothermal gradient; Workflow; Geothermal energy; Reservoir simulation; Geological survey; Scale (ratio); Production (economics); Computer science; Software; Petroleum engineering; Geology; Earth science; Geophysics; Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001147955,0.0002801092,0.0002314566,0.0007660474,0.0002561727,0.0008346571,0.0003707243,0.000454791,0.001613809],"category_scores_gemma":[0.005514227,0.0003080134,0.0004500995,0.0007567941,0.0004943768,0.0008673262,0.0007008775,0.0003119459,0.0001418877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008009796,"about_ca_system_score_gemma":0.0003831252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007440184,"about_ca_topic_score_gemma":0.010886,"domain_scores_codex":[0.9996758,0.00009749204,0.00002148266,0.00007577605,0.0000894714,0.00003999547],"domain_scores_gemma":[0.9948486,0.003985596,0.000491219,0.0002738803,0.0002290408,0.0001717223],"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":[0.0002350407,0.00008094131,0.1228554,0.0001004989,0.00009063105,0.0001930126,0.0001286321,0.851128,0.008292501,0.001416208,0.0002006493,0.01527849],"study_design_scores_gemma":[0.00001510302,0.0001622384,0.09413864,0.00001316516,0.00004533337,0.00009070795,0.0001948638,0.8946005,0.007965031,0.002207949,0.0005434905,0.00002299895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882869,0.00006002866,0.009311711,0.00003403469,0.000003000385,0.00002867976,0.0004349961,0.0000879049,0.001752825],"genre_scores_gemma":[0.9971815,0.00001604736,0.00246576,0.000004009231,6.786819e-7,0.00001071236,0.0001736208,0.00001337979,0.0001342907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007440184,"threshold_uncertainty_score":0.01479375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04491672216694308,"score_gpt":0.338803404199416,"score_spread":0.2938866820324729,"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."}}