{"id":"W2068739706","doi":"10.2118/148804-ms","title":"A Parametric Simulation Study for Solvent Co-injection Process in Bitumen Deposits","year":2011,"lang":"en","type":"article","venue":"Canadian Unconventional Resources Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Statoil","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Asphalt; Process engineering; Solvent; Steam injection; Oil sands; Process (computing); Environmental science; Parametric statistics; Computer science; Materials science; Engineering; Chemistry; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000460827,0.0004604816,0.0006585242,0.0004966053,0.0007772456,0.0009185405,0.0007904657,0.001343452,0.002844756],"category_scores_gemma":[0.001099076,0.0002664187,0.0007840452,0.0004673746,0.0007029055,0.0004881651,0.0006037813,0.0008056451,0.0001712543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007356622,"about_ca_system_score_gemma":0.0008263474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097363,"about_ca_topic_score_gemma":0.005981938,"domain_scores_codex":[0.9998018,0.00003460924,0.00001101453,0.00002554762,0.0000620443,0.00006500251],"domain_scores_gemma":[0.9991693,0.000530294,0.00008023789,0.00005348942,0.0001323819,0.00003433422],"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":[0.0001611523,0.0001147515,0.003009406,0.00007988198,0.00001472696,0.0003399277,0.0001110722,0.9871187,0.005709905,0.001023619,0.000146319,0.002170463],"study_design_scores_gemma":[0.00001859874,0.0001357669,0.0007059711,0.000008636936,0.000009990922,0.00002249062,0.00008208497,0.9953184,0.003246265,0.0001434035,0.0002981921,0.0000102106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753832,0.000147566,0.01293309,0.0001663822,0.00003706475,0.0001115421,0.0003657762,0.0001025453,0.01075276],"genre_scores_gemma":[0.9973671,0.00004618131,0.001563483,0.000008857555,0.000001633481,0.00004587063,0.00005364139,0.000005603551,0.0009076415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097363,"threshold_uncertainty_score":0.02181953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04877772819858737,"score_gpt":0.2830470283950908,"score_spread":0.2342693001965035,"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."}}