{"id":"W1164891993","doi":"10.1016/j.energy.2015.07.116","title":"Utilization of oil wells for electricity generation: Performance and economics","year":2015,"lang":"en","type":"article","venue":"Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Qatar National Research Fund; Qatar Foundation","keywords":"Geothermal gradient; Geothermal energy; Electricity generation; Renewable energy; Cost of electricity by source; Electricity; Payback period; Petroleum engineering; Environmental science; Fossil fuel; Borehole; Environmental engineering; Natural resource economics; Waste management; Engineering; Geology; Production (economics); Economics; Power (physics)","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":[0.0000973446,0.00007536174,0.0001179246,0.00004004014,0.00005087953,0.00001234527,0.00006133064,0.00005735619,0.00001223775],"category_scores_gemma":[0.00001065834,0.00007323523,0.00002398484,0.00008210351,0.00002149987,0.00007852278,0.0000129847,0.00001586011,0.000002416904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002293487,"about_ca_system_score_gemma":0.00004155171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545905,"about_ca_topic_score_gemma":0.0003396477,"domain_scores_codex":[0.9995055,0.00001520906,0.0001911392,0.0001390868,0.00004329623,0.0001057596],"domain_scores_gemma":[0.9995982,0.00001689591,0.00009254178,0.0001428882,0.00009180739,0.0000576739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001643033,0.00003381846,0.0001741905,0.00001751183,0.00001908328,4.322469e-8,0.00009001262,0.2961649,0.001566982,0.6041431,0.0008593308,0.09691461],"study_design_scores_gemma":[0.0004226019,0.00006442066,0.0001364462,0.000004146803,0.000008797376,0.000002920249,0.00002332612,0.3876055,0.04367246,0.000932048,0.5670189,0.0001083719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487761,0.0004311054,0.01089291,0.0001782587,0.0001883495,0.00004315919,0.000009282698,0.00004172725,0.03943907],"genre_scores_gemma":[0.9909748,0.0002387129,0.0006361981,0.0001048772,0.0002603003,0.00006475383,0.00004829141,0.00001497849,0.007657116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.603211,"threshold_uncertainty_score":0.2986446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04230164783657572,"score_gpt":0.2332010302868918,"score_spread":0.1908993824503161,"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."}}