{"id":"W3207228014","doi":"10.2118/206403-ms","title":"Electromagnetic Induction Heating for Bitumen Recovery: A Case Study in Athabasca Oil Sands","year":2021,"lang":"en","type":"article","venue":"SPE Russian Petroleum Technology Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Oil sands; Steam-assisted gravity drainage; Asphalt; Petroleum engineering; Electric heating; Environmental science; Saturation (graph theory); Steam injection; Enhanced oil recovery; Heat exchanger; Geology; Materials science; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002223363,0.0003179675,0.0004664029,0.0007068234,0.00009377593,0.00006921642,0.00025681,0.0003820316,0.00007479579],"category_scores_gemma":[0.0001269021,0.0003677709,0.00007546254,0.0008927461,0.00006843107,0.0002151263,0.00008888893,0.0006654542,0.00001076722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228248,"about_ca_system_score_gemma":0.0001611848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001229922,"about_ca_topic_score_gemma":0.003099512,"domain_scores_codex":[0.998187,0.00005013624,0.0004655543,0.0005576197,0.0001341393,0.0006055303],"domain_scores_gemma":[0.9991618,0.00006878265,0.00007642756,0.0005684722,0.00006491824,0.00005961125],"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":[0.0001146737,0.0008719856,0.02877942,0.0005685149,0.0003479436,0.007752815,0.001021604,0.001166549,0.2229134,0.01282791,0.0002997861,0.7233353],"study_design_scores_gemma":[0.009133304,0.00868567,0.007671471,0.001503709,0.0003242951,0.01644391,0.01463333,0.06560469,0.7913362,0.0765639,0.003856739,0.0042428],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821087,0.0004559618,0.007397394,0.0003918422,0.0002243175,0.0002257932,0.000014257,0.001438067,0.007743732],"genre_scores_gemma":[0.9840805,0.000293483,0.01450549,0.00001507039,0.00004630442,0.0005490402,0.00001247784,0.0000637019,0.0004339411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7190925,"threshold_uncertainty_score":0.9998775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243821287262429,"score_gpt":0.2493137945513864,"score_spread":0.2368755816787621,"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."}}