{"id":"W2030260920","doi":"10.2118/145464-ms","title":"Practical Surveillance Analysis on Thermal Heavy Oil Projects: Integrating Seismic Data with Production Case Studies","year":2011,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Oil field; Enhanced oil recovery; Production (economics); Fossil fuel; Environmental science; Computer science; Engineering; Waste management","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":[0.00156362,0.0004901149,0.0003048268,0.001467754,0.000420452,0.0006596486,0.0005809673,0.0005778442,0.0009321976],"category_scores_gemma":[0.003890437,0.0002461556,0.0003783588,0.001569857,0.000738929,0.0005170097,0.0005532288,0.0004085614,0.0000577681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850722,"about_ca_system_score_gemma":0.001293182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1253559,"about_ca_topic_score_gemma":0.124676,"domain_scores_codex":[0.9994466,0.0002384509,0.00002654626,0.00006044745,0.0001503722,0.00007757973],"domain_scores_gemma":[0.9972243,0.001855521,0.0001984795,0.0001610047,0.0004788009,0.00008180661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002602889,0.0004378546,0.07155871,0.0001213647,0.00006695075,0.0008560543,0.0003784803,0.8781196,0.004879083,0.003087479,0.00059261,0.03964154],"study_design_scores_gemma":[0.00001415309,0.0001114227,0.01704226,0.00001039015,0.00001824614,0.00005601977,0.0006094124,0.9787928,0.002385844,0.0005447568,0.0004020006,0.00001263093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822817,0.0000522441,0.01480126,0.0001156023,0.000002839437,0.0000695139,0.0002325456,0.00006727098,0.002376903],"genre_scores_gemma":[0.9890198,0.00005921514,0.01033056,0.000005720336,0.000003086119,0.00001564433,0.0001691769,0.000005522224,0.0003912911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1253559,"threshold_uncertainty_score":0.2492525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266503232665709,"score_gpt":0.3586552292802859,"score_spread":0.2320049060137149,"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."}}