{"id":"W4396978902","doi":"10.1016/j.renene.2024.120663","title":"DC electric field assisted heat extraction evaluation via water circulation in abandoned production well patterns: Semi-analytical and numerical models","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Education Department of Shaanxi Province; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Circulation (fluid dynamics); Extraction (chemistry); Environmental science; Production (economics); Electric field; Field (mathematics); Petroleum engineering; Mechanics; Environmental engineering; Engineering; Chemistry; Physics; Chromatography; Mathematics; Economics","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":[0.0005037256,0.0001428442,0.0001931731,0.0002022062,0.00007578814,0.00008656734,0.00005134211,0.0001285701,0.0005652361],"category_scores_gemma":[0.00006606901,0.0001021236,0.00005781367,0.0005844903,0.00000820215,0.0003922864,0.000006592292,0.0001555118,0.0000234827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002731827,"about_ca_system_score_gemma":0.00003146572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02800333,"about_ca_topic_score_gemma":0.001080683,"domain_scores_codex":[0.9983524,0.0002534238,0.000259805,0.0004616573,0.0003576431,0.0003150722],"domain_scores_gemma":[0.999494,0.0002299643,0.00001935098,0.0001187075,0.00004543044,0.00009252204],"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":[0.00006730717,0.00004160874,0.003014022,0.00003053472,0.00002157008,0.000008457819,0.00003105844,0.7006701,0.01883317,0.00002086073,0.00006766555,0.2771937],"study_design_scores_gemma":[0.0001163756,0.0001142405,0.04266745,0.00002662014,0.0000489968,0.0000289256,0.000003888293,0.9222403,0.02388084,0.01046903,0.0002574568,0.0001458379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7875796,0.001168782,0.2078394,0.0009263256,0.0004662646,0.0001736739,0.000001416106,0.00008230815,0.001762244],"genre_scores_gemma":[0.9989675,0.00008865336,0.0001265313,0.00009281799,0.0002589434,0.000009698204,0.00008091842,0.000005391424,0.0003695828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2770478,"threshold_uncertainty_score":0.9784693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348978965660871,"score_gpt":0.26211336066961,"score_spread":0.2386235710130013,"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."}}