{"id":"W2071736192","doi":"10.2118/136611-ms","title":"Heavy Oil and Bitumen Recovery Using Radiofrequency Electromagnetic Irradiation and Electrical Heating: Theoretical Analysis and Field Scale Observations","year":2010,"lang":"en","type":"article","venue":"Canadian Unconventional Resources and International Petroleum Conference","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Oil sands; Asphalt; Dielectric heating; Asphaltene; Petroleum engineering; Materials science; Steam injection; Radio frequency; Oil shale; Electromagnetic field; Enhanced oil recovery; Environmental science; Dielectric; Geology; Composite material; Electrical engineering","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":[0.000230663,0.0001430303,0.0001956244,0.0003131248,0.0002606803,0.0002574958,0.0001076842,0.0001041428,0.0008479684],"category_scores_gemma":[0.0002450664,0.0001304014,0.00005009098,0.0002868391,0.0002345315,0.0001876168,0.00001507978,0.0002896678,0.000002059964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000130529,"about_ca_system_score_gemma":0.0001226275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03563979,"about_ca_topic_score_gemma":0.04508357,"domain_scores_codex":[0.998866,0.00007714994,0.0002191022,0.0003622595,0.0001964183,0.0002790666],"domain_scores_gemma":[0.9989026,0.0004095336,0.00006444225,0.00007678056,0.00009194746,0.0004547083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008472447,0.00002344271,0.6271461,0.00001911877,0.0001932207,0.000008794529,0.0001005486,0.0001014734,0.001724305,0.05061303,0.0000254955,0.3199598],"study_design_scores_gemma":[0.0002017219,0.0002205684,0.7630089,0.00001027682,0.00008565248,0.00004637653,0.00001885961,0.20166,0.00002539955,0.03319684,0.001362671,0.0001628007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941843,0.0004641849,0.0002494825,0.002445019,0.00009546118,0.00003155503,0.00006126092,0.000009920458,0.002458855],"genre_scores_gemma":[0.9958267,0.0003057227,0.00277584,0.0003807527,0.0001224674,0.000002415463,0.00006945919,0.000003176925,0.0005134394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.319797,"threshold_uncertainty_score":0.9723412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476962702056647,"score_gpt":0.2290046033133957,"score_spread":0.2142349762928293,"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."}}