{"id":"W2008250608","doi":"10.2118/157037-ms","title":"Evaluation of the Hybrid Process of Electrical Resistive Heating and Solvent Injection through Numerical Simulations","year":2012,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference Canada","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Injector; Steam injection; Viscosity; Petroleum engineering; Thermal; Process (computing); Materials science; Heat transfer; Environmental science; Oil field; Solvent; Mass transfer; Resistive touchscreen; Process engineering; Mechanics; Mechanical engineering; Chemistry; Computer science; Engineering; Thermodynamics; Composite material; Chromatography; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002301374,0.00008857869,0.000142264,0.00002461128,0.00004949221,0.000005623047,0.00006755615,0.00003344225,0.00002480073],"category_scores_gemma":[0.0003080644,0.00007721499,0.00001910009,0.0001921087,0.00003529642,0.0001397556,0.00001369103,0.0001284315,1.050637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119028,"about_ca_system_score_gemma":0.0005741183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04321939,"about_ca_topic_score_gemma":0.06119684,"domain_scores_codex":[0.9989914,0.00007114992,0.0002184844,0.00008925,0.0004645057,0.000165223],"domain_scores_gemma":[0.9993322,0.00009669412,0.00007240182,0.0001220084,0.0003391079,0.00003754959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001326909,0.0002684372,0.04526116,0.001323962,0.0003994973,0.000001286769,0.005474595,0.4285053,0.04087998,0.00740188,0.002705183,0.4676461],"study_design_scores_gemma":[0.0003017932,0.00008866151,0.02039926,0.0002579459,0.0001360344,0.000009573247,0.0002530786,0.4350338,0.5377427,0.005305234,0.0002024268,0.0002694892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876998,0.0003433419,0.007266504,0.00005715753,0.0001637531,0.0001355335,0.0000254899,0.00003793207,0.004270464],"genre_scores_gemma":[0.9993693,0.00002191477,0.000523516,0.00001632869,0.00002645938,0.00001768374,0.000003925896,0.00001026849,0.00001055301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4968627,"threshold_uncertainty_score":0.9631519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473999312810086,"score_gpt":0.278503101899882,"score_spread":0.2537631087717811,"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."}}