{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002698604,0.000293148,0.0005228983,0.0002152296,0.00007688538,0.00003096376,0.0003936291,0.0002183564,0.00008954458],"category_scores_gemma":[0.0005454479,0.0003183744,0.0000643111,0.001112864,0.0001350213,0.0001858605,0.00008040229,0.0005315546,0.000002937175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008461275,"about_ca_system_score_gemma":0.0006966771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1437227,"about_ca_topic_score_gemma":0.2977159,"domain_scores_codex":[0.9977233,0.00007334339,0.0007155625,0.0003990089,0.0004589564,0.0006298614],"domain_scores_gemma":[0.9987396,0.0002993541,0.0001082712,0.0004522492,0.0002361923,0.0001643333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006864711,0.0002785421,0.003840918,0.001491799,0.00009629683,0.0001536042,0.000275866,0.1121787,0.7080503,0.00202693,0.0007252768,0.1701954],"study_design_scores_gemma":[0.0002544259,0.0001767576,0.0009605893,0.0005890992,0.00001087852,0.00001006117,0.00001770586,0.9485376,0.04784055,0.0006398956,0.0005492733,0.0004131264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968564,0.000518653,0.08488758,0.0002257991,0.0002587002,0.0001801482,0.0000355577,0.0008265887,0.01621056],"genre_scores_gemma":[0.9916891,0.00008889497,0.007901209,0.00008788445,0.00007490658,0.00002500489,0.000006219312,0.00005305528,0.00007372375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.836359,"threshold_uncertainty_score":0.9999268,"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."}}