{"id":"W2029307665","doi":"10.2118/02-03-01","title":"Solution-Gas Drive in Heavy Oil: Field Prediction and Sensitivity Studies Using Low Gas Relative Permeability","year":2002,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Permeability (electromagnetism); Oil field; Relative permeability; Oil production; Environmental science; Natural gas field; Fossil fuel; Gas oil ratio; Geology; Chemistry; Waste management; Geotechnical engineering; Engineering; Natural gas","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":[],"consensus_categories":[],"category_scores_codex":[0.0004833673,0.0001239591,0.0003150078,0.001652611,0.00006556596,0.00001253869,0.00005174856,0.0002261493,0.00001050887],"category_scores_gemma":[0.0006728727,0.0001280983,0.00004747325,0.0005012148,0.00007815077,0.0002117,0.00001426307,0.0005948481,9.039035e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005022057,"about_ca_system_score_gemma":0.00003757803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028356,"about_ca_topic_score_gemma":0.01268305,"domain_scores_codex":[0.9990788,0.00007140762,0.0003673031,0.0001104688,0.0001073563,0.0002647084],"domain_scores_gemma":[0.9993636,0.0001884358,0.00007003941,0.0001339975,0.0001165251,0.0001273816],"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":[0.000009293973,0.00001148671,0.01743967,0.00006059029,0.00009287149,0.0001668519,0.0004485533,0.9726546,0.001685189,0.0001626955,0.0002673944,0.007000806],"study_design_scores_gemma":[0.0004466496,0.00009358019,0.002500547,0.0001299471,0.00002058743,0.0003593846,0.0002718461,0.9935001,0.000747351,0.0007275518,0.001081493,0.0001210147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872096,0.001958614,0.008011253,0.002196232,0.0002942558,0.00002765985,0.00000634296,0.00005576438,0.0002403359],"genre_scores_gemma":[0.9921691,0.0009240767,0.006782288,0.00001780522,0.00006486729,0.000001544824,2.678408e-7,0.00001355758,0.00002652349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02084545,"threshold_uncertainty_score":0.7077441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154596397194382,"score_gpt":0.2506464024246047,"score_spread":0.2291004384526609,"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."}}