{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002902479,0.0001361188,0.0002326063,0.0003412612,0.000058625,0.00001159368,0.000131507,0.00007439101,0.00005223741],"category_scores_gemma":[0.00003868777,0.0001256286,0.00002963064,0.0006128543,0.00004303597,0.0002595651,0.00001450462,0.0004436736,0.000003107024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360529,"about_ca_system_score_gemma":0.00006129818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001377728,"about_ca_topic_score_gemma":0.0000201581,"domain_scores_codex":[0.9990095,0.00003709862,0.0003767357,0.00009490645,0.0002286287,0.0002531621],"domain_scores_gemma":[0.9995436,0.00005804675,0.00005272145,0.0001681467,0.00008586825,0.00009163822],"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":[0.00005367872,0.00003414965,0.07900146,0.00005893571,0.00001605746,0.0001640459,0.0006174414,0.9176336,0.002309814,0.00001051583,0.00004219121,0.00005812719],"study_design_scores_gemma":[0.002786436,0.0001522631,0.1739991,0.0004536092,0.000005281289,0.00008970974,0.0001514228,0.814149,0.007743835,0.00002780173,0.0001823202,0.000259148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981872,0.0002984779,0.0004663817,0.0000120871,0.0001194084,0.00005457153,0.000005446418,0.0000462403,0.0008101191],"genre_scores_gemma":[0.9959474,0.0002137848,0.003622172,0.000005663547,0.0000514616,0.000004165626,0.000005849798,0.00002953538,0.0001199926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1034846,"threshold_uncertainty_score":0.5122986,"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."}}