{"id":"W2005788962","doi":"10.2118/08-09-23","title":"In Situ Upgrading of Llancanelo Heavy Oil Using In Situ Combustion and a Downhole Catalyst Bed","year":2008,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Directorate for Computer and Information Science and Engineering; Universidad Tecnológica Nacional; University of Calgary","keywords":"Combustion; API gravity; Catalysis; In situ; Petroleum engineering; Waste management; Coke; Environmental science; Tube (container); Chemical engineering; Materials science; Chemistry; Crude oil; Metallurgy; Geology; Engineering; Organic chemistry","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":[0.0002648077,0.0001732849,0.0006342506,0.004564868,0.00008959708,0.00001539466,0.0002731256,0.0003263313,0.00002060012],"category_scores_gemma":[0.0001508512,0.0001823997,0.0000770702,0.001318149,0.0002164542,0.0001736038,0.0000290453,0.0006679867,8.770848e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259795,"about_ca_system_score_gemma":0.0006406546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02417123,"about_ca_topic_score_gemma":0.2019928,"domain_scores_codex":[0.9984378,0.00002250187,0.0007153191,0.0002007475,0.0002011584,0.0004224743],"domain_scores_gemma":[0.9989837,0.00003218772,0.0004784057,0.0002002216,0.0001082567,0.0001972394],"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":[0.00006065998,0.00007366412,0.073647,0.0001267159,0.00007640095,0.001438479,0.0002834403,0.000594043,0.9189696,0.00005843057,0.0001086592,0.004562887],"study_design_scores_gemma":[0.01105551,0.0004373168,0.00944845,0.003026799,0.0004646674,0.01912684,0.006046563,0.004979231,0.926408,0.001062633,0.01633593,0.00160808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939238,0.00170164,0.000012512,0.001804671,0.00003910809,0.000003235935,0.000008055711,0.0000116931,0.002495284],"genre_scores_gemma":[0.998674,0.0003845308,0.0004945461,0.00005524077,0.00005481641,0.000001291776,0.000003466479,0.00001707197,0.0003150479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1778216,"threshold_uncertainty_score":0.9823269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206903606972143,"score_gpt":0.2265716572169593,"score_spread":0.2145026211472379,"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."}}