{"id":"W2058874528","doi":"10.2118/104377-pa","title":"Performance of Drainage Experiments With Orinoco Belt Heavy Oil in a Long Laboratory Core in Simulated Reservoir Conditions","year":2008,"lang":"en","type":"article","venue":"SPE Journal","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"China National Petroleum Corporation; China University of Petroleum, Beijing","keywords":"Petroleum engineering; Oil production; Fossil fuel; Environmental science; Work (physics); Enhanced oil recovery; Drainage; Core (optical fiber); Recovery rate; Geology; Waste management; Engineering; Chemistry; Ecology; Mechanical engineering; Biology","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":[0.000591511,0.0003704754,0.000642785,0.0003675272,0.0005411496,0.0005174527,0.0005553637,0.0005406422,0.001129757],"category_scores_gemma":[0.001845915,0.0001992251,0.0003084392,0.0003942449,0.0005059825,0.0005553716,0.0006681905,0.0004846792,0.0001959934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005398109,"about_ca_system_score_gemma":0.0004536367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004352208,"about_ca_topic_score_gemma":0.005677591,"domain_scores_codex":[0.9996529,0.0000642057,0.00005472527,0.00007340252,0.00008617996,0.00006865357],"domain_scores_gemma":[0.9987809,0.00053786,0.0001414723,0.000100416,0.0003160034,0.0001234272],"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":[0.00479578,0.001569997,0.02496514,0.0003101264,0.00005582667,0.0003021979,0.0005073277,0.01225456,0.9359737,0.0001753318,0.0002904815,0.0187995],"study_design_scores_gemma":[0.0001469405,0.003977623,0.01481924,0.00002402065,0.00004443482,0.00006544322,0.000306667,0.02593296,0.9537065,0.0000762277,0.0008548312,0.00004512084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988475,0.0000494786,0.0006176697,0.0000168164,0.000005188318,0.00001775231,0.0001170933,0.00004876696,0.0002796452],"genre_scores_gemma":[0.9984736,0.00004848632,0.0009419263,0.00001029101,0.000002869889,0.00002514255,0.000159167,0.00001433483,0.000324196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004352208,"threshold_uncertainty_score":0.00865376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655679153323961,"score_gpt":0.2921704761785012,"score_spread":0.2656136846452616,"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."}}