{"id":"W3011347783","doi":"10.2118/199910-ms","title":"Feasibility of Electromagnetic Heating for Oil Sand Reservoirs","year":2020,"lang":"en","type":"article","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Steam injection; Electromagnetic heating; Electric heating; Electromagnetic field; Environmental science; Nuclear engineering; Electromagnetic radiation; Thermal; Process (computing); Process engineering; Mechanical engineering; Engineering; Electrical engineering; Computer science; Optics; Physics; Meteorology","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":[0.0003026988,0.0001653693,0.0002069684,0.0001524327,0.0002803911,0.0003271795,0.0002704046,0.0002582023,0.001340245],"category_scores_gemma":[0.0009456204,0.000143476,0.0001680694,0.000120796,0.0005336672,0.0003746065,0.0004257762,0.0002088158,0.0001268145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002800363,"about_ca_system_score_gemma":0.0003868481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009208004,"about_ca_topic_score_gemma":0.001061124,"domain_scores_codex":[0.9998469,0.00004119784,0.000007773707,0.00002069808,0.00005005438,0.00003331235],"domain_scores_gemma":[0.9996179,0.0002237711,0.0000496638,0.00004434673,0.00004392179,0.00002021768],"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":[0.001270585,0.000147791,0.01258765,0.0002523018,0.0000355645,0.0006654915,0.0001689866,0.3095149,0.6420308,0.005120688,0.0003548129,0.02785034],"study_design_scores_gemma":[0.00005806754,0.0005795835,0.004537505,0.00001563891,0.0000213581,0.0001091559,0.0001599609,0.4594811,0.5327135,0.0008772106,0.001421722,0.00002529856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857749,0.00004155135,0.01216987,0.00005864063,0.000006845131,0.00001780099,0.00003734883,0.00007652309,0.001816686],"genre_scores_gemma":[0.9988637,0.000008721964,0.000946648,0.000001300803,5.88064e-7,0.000003204451,0.000007144934,0.000002303231,0.0001664221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001340245,"threshold_uncertainty_score":0.004483521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05094012662690577,"score_gpt":0.279228096124125,"score_spread":0.2282879694972192,"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."}}