{"id":"W4249268080","doi":"10.2118/2003-202","title":"Impacts of Gas in SAGD: History Matching of Lab Scale Tests","year":2003,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Petroleum engineering; Matching (statistics); Computer science; Process engineering; Environmental science; Engineering; Mathematics; Statistics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001358231,0.0001023534,0.0001371498,0.00003732906,0.00001560051,0.000005124558,0.0002742661,0.00005272418,0.004802256],"category_scores_gemma":[0.00003956523,0.0001132408,0.000037282,0.00006577156,0.0002138712,0.0001393227,0.00003922945,0.0001068164,0.00004158753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834391,"about_ca_system_score_gemma":0.0001647452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2112803,"about_ca_topic_score_gemma":0.3003716,"domain_scores_codex":[0.9991004,0.0000289316,0.000241866,0.0001785955,0.0002355462,0.0002146421],"domain_scores_gemma":[0.9995292,0.0000239183,0.0001118608,0.0001454772,0.000008587654,0.0001809474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008332404,0.00004780304,0.9581608,0.000006811902,0.000009040536,0.00001203612,0.0004846478,0.03201092,0.005630845,0.002794749,0.0002494037,0.0005846272],"study_design_scores_gemma":[0.0005833732,0.00007032182,0.9687938,0.00007963568,0.000008384619,0.00002098438,0.0005669754,0.008490779,0.0007180953,0.00219372,0.0181854,0.0002885257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924167,0.00003333691,0.0003223207,0.00009722317,0.0001660625,0.00004047753,0.00001114036,0.000003663942,0.07515875],"genre_scores_gemma":[0.9964539,0.00003042968,0.002201071,0.0001189432,0.000005920721,0.000003959607,0.000004989257,0.000009363188,0.001171401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08909133,"threshold_uncertainty_score":0.9961075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008399037889402215,"score_gpt":0.1973085850671858,"score_spread":0.1889095471777836,"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."}}