{"id":"W2793258347","doi":"10.2118/189764-ms","title":"Numerical Simulation of Dielectric Heating in a Heavy Oil Reservoir Using a Shaped Dipole Antenna","year":2018,"lang":"en","type":"article","venue":"SPE Canada Heavy Oil Technical Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acceleware (Canada)","funders":"","keywords":"Antenna (radio); Dielectric heating; Dielectric; Heating system; Dipole antenna; Dipole; Radiation pattern; Radio frequency; Oil production; Materials science; Mechanics; Petroleum engineering; Mechanical engineering; Physics; Engineering; Electrical engineering; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001986479,0.0002834009,0.0003728431,0.0002554462,0.0002945342,0.0004975067,0.0005455568,0.0007971954,0.001349644],"category_scores_gemma":[0.0006190428,0.0002435083,0.0003889218,0.0003300586,0.0005545816,0.0002767694,0.000320192,0.000328908,0.0001531293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005951826,"about_ca_system_score_gemma":0.0005090861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007016844,"about_ca_topic_score_gemma":0.003288632,"domain_scores_codex":[0.9999218,0.0000168739,0.000003429655,0.00001060813,0.00002123023,0.00002599848],"domain_scores_gemma":[0.9996638,0.0002025094,0.00003773092,0.00002196058,0.0000493561,0.00002464981],"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":[0.00009253874,0.00002890101,0.001456569,0.00002680808,0.000008623235,0.0001741514,0.00005853101,0.9841104,0.01144547,0.0007752535,0.0001007435,0.001722034],"study_design_scores_gemma":[0.00001294535,0.00004691484,0.0004311005,0.000002789521,0.000004051123,0.00001760035,0.0000337978,0.9967846,0.002414052,0.00009002963,0.0001562977,0.000005824601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963057,0.0000659615,0.02685217,0.0001215453,0.0000229981,0.00003724295,0.0001461842,0.0002030376,0.009493914],"genre_scores_gemma":[0.994251,0.00003394023,0.004334998,0.00001053653,0.000002112048,0.00001562759,0.00003757637,0.00001142933,0.001302656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007016844,"threshold_uncertainty_score":0.01395202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739091572154494,"score_gpt":0.2760254861977973,"score_spread":0.2486345704762523,"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."}}