{"id":"W2318003676","doi":"10.1021/ef1009428","title":"Effects of Electrical and Radio-Frequency Electromagnetic Heating on the Mass-Transfer Process during Miscible Injection for Heavy-Oil Recovery","year":2010,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Asphaltene; Viscosity; Radio frequency; Porous medium; Residual oil; Electric field; Enhanced oil recovery; Mass transfer; Dielectric heating; Precipitation; Electromagnetic field; Materials science; Heat transfer; Porosity; Petroleum engineering; Analytical Chemistry (journal); Mechanics; Chemistry; Composite material; Geology; Chromatography; Dielectric; Meteorology; Optoelectronics; 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":[0.0001190874,0.0001405704,0.0001852794,0.0001406155,0.000116944,0.00003229245,0.00009446968,0.00009737405,0.00001751223],"category_scores_gemma":[0.00007861876,0.0001072675,0.00008376366,0.0003488883,0.00002621479,0.00009954581,0.000003741437,0.0001998223,7.887218e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002533566,"about_ca_system_score_gemma":0.00002050155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000334708,"about_ca_topic_score_gemma":0.00006698445,"domain_scores_codex":[0.9992046,0.00003529838,0.0002028649,0.0001766328,0.0001453523,0.0002352904],"domain_scores_gemma":[0.999557,0.0001867106,0.00002027659,0.000141068,0.0000377108,0.00005729459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003414199,0.0000225978,0.00003802684,0.0001960991,0.00006134788,0.000001124669,0.0001161309,0.007355292,0.9895111,0.0007409296,0.00001232617,0.001910899],"study_design_scores_gemma":[0.00037179,0.0003026791,0.0001511771,0.00003300631,0.00004345267,0.000005816832,0.00001452723,0.01695386,0.9803225,0.00160362,0.00005612353,0.0001413905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946434,0.0004442646,0.003465814,0.00009832831,0.0001203525,0.00008311559,0.000001318251,0.00008749232,0.001055847],"genre_scores_gemma":[0.9990354,0.0002117113,0.0002022268,0.00003076469,0.0001242354,0.0001329292,0.000004724046,0.00003049673,0.000227515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009598568,"threshold_uncertainty_score":0.437424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003928795973320389,"score_gpt":0.1924204450794436,"score_spread":0.1884916491061232,"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."}}