{"id":"W2551118659","doi":"10.1190/geo2016-0155.1","title":"Seismic characterization of heavy oil reservoir during thermal production: A case study","year":2016,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cenovus Energy (Canada)","funders":"Cenovus Energy","keywords":"Steam injection; Petroleum engineering; Thermal; Inversion (geology); Electrical impedance; Geology; Mechanics; Vapor quality; Environmental science; Mineralogy; Thermodynamics; Heat transfer; Seismology; Physics; Heat flux","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002500363,0.0003390284,0.0003347656,0.0009159772,0.0004104449,0.0003935887,0.0004787043,0.0008369664,0.000936224],"category_scores_gemma":[0.0005320472,0.0002053747,0.0003098105,0.0007524457,0.0004044429,0.000427006,0.0003937353,0.0003308106,0.0001427435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003806443,"about_ca_system_score_gemma":0.0003855415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008417275,"about_ca_topic_score_gemma":0.0139436,"domain_scores_codex":[0.99986,0.0000170963,0.000008910965,0.00003230745,0.00004867735,0.00003292751],"domain_scores_gemma":[0.9997428,0.00008355011,0.00003821979,0.00003219497,0.00006070266,0.0000425705],"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":[0.001488412,0.00175677,0.2402566,0.0005367586,0.0001992962,0.03717253,0.00342274,0.3661912,0.253287,0.003059982,0.002326424,0.09030224],"study_design_scores_gemma":[0.00007594965,0.0006318017,0.1457082,0.00003672433,0.0001014208,0.002502803,0.002914788,0.7877522,0.05703679,0.0009422085,0.002180396,0.0001167578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944927,0.00003139658,0.00450018,0.00005042227,0.000004493252,0.00001892583,0.0001505802,0.00004915532,0.0007023406],"genre_scores_gemma":[0.9970441,0.00003016539,0.00243568,0.000004598091,0.00000386206,0.000007066914,0.00009674304,0.000007815485,0.0003700448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008417275,"threshold_uncertainty_score":0.01673657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414019840461787,"score_gpt":0.2111768489190461,"score_spread":0.1970366505144283,"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."}}