{"id":"W1983279231","doi":"10.1016/j.fuel.2012.07.019","title":"Evaluation of the hybrid process of electrical resistive heating and solvent injection through numerical simulations","year":2012,"lang":"en","type":"article","venue":"Fuel","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Injector; Petroleum engineering; Steam injection; Viscosity; Thermal; Process (computing); Steam-assisted gravity drainage; Environmental science; Oil field; Heat transfer; Materials science; Process engineering; Mechanics; Oil sands; Mechanical engineering; Geology; Computer science; Engineering; Asphalt; Thermodynamics","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":[0.0006305165,0.0005141008,0.0008104024,0.0004868119,0.0005588438,0.001033686,0.0007286064,0.0009506811,0.002328283],"category_scores_gemma":[0.001995964,0.0003417922,0.0004180821,0.0004113184,0.0008917999,0.0007860977,0.000534485,0.0005464056,0.0002409232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025335,"about_ca_system_score_gemma":0.0007785507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004887896,"about_ca_topic_score_gemma":0.002172423,"domain_scores_codex":[0.9997502,0.00004649234,0.00001152247,0.00003069353,0.0001036127,0.00005743343],"domain_scores_gemma":[0.9990125,0.0006367021,0.00008141687,0.00006917316,0.0001538601,0.00004636075],"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":[0.0003191371,0.0001331386,0.001212487,0.00008842607,0.00001991501,0.0001033905,0.00004635377,0.9735975,0.01736744,0.002664785,0.0001314059,0.004315984],"study_design_scores_gemma":[0.00001992869,0.00006401566,0.000237359,0.000003081829,0.000004072272,0.000006927974,0.000009957292,0.9915736,0.007764386,0.0001648461,0.0001467238,0.000005123502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458528,0.0003223833,0.0365146,0.0002050265,0.00005368305,0.0001346316,0.0002657812,0.0003353985,0.01631585],"genre_scores_gemma":[0.9959642,0.00005373586,0.002979764,0.000009412494,0.000003934154,0.00003415597,0.00004106307,0.00002204258,0.0008917663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004887896,"threshold_uncertainty_score":0.009718895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675549188370889,"score_gpt":0.3311021878593172,"score_spread":0.2943466959756083,"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."}}