{"id":"W1907781017","doi":"10.1190/1.3167786","title":"Monitoring CO2 storage during EOR at the Weyburn-Midale Field","year":2009,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Enhanced oil recovery; Petroleum engineering; Field (mathematics); Environmental science; Geology","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":[0.0003681348,0.0001536739,0.0001431371,0.00004726734,0.0002708743,0.0000677523,0.0003162694,0.00007087245,0.00004314355],"category_scores_gemma":[0.00009694991,0.0001011031,0.00007464578,0.0001835796,0.0000184656,0.00009110362,0.00003802294,0.0003407429,0.0001251917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039181,"about_ca_system_score_gemma":0.000003880713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003237797,"about_ca_topic_score_gemma":0.000001179969,"domain_scores_codex":[0.9991919,0.00005015095,0.0001678266,0.0001254003,0.0001588103,0.0003059015],"domain_scores_gemma":[0.9991066,0.0003529218,0.00002181728,0.0004477409,0.00001657584,0.00005437585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008609816,0.000003795443,0.0005037629,0.00002497698,0.00001876025,0.000005714763,0.0008171597,0.9635376,0.02968143,0.00006266247,0.001667132,0.003668398],"study_design_scores_gemma":[0.001225823,0.0001020312,0.03673199,0.0003378715,0.0000722921,0.00006453417,0.0002725413,0.3444033,0.5541072,0.0006598062,0.06104622,0.0009764121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822195,0.001163044,0.009012234,0.0006524014,0.0009980807,0.0001163935,0.00000100973,0.0004636939,0.005373601],"genre_scores_gemma":[0.9913557,0.00008371436,0.0005504843,0.00004031745,0.000689938,0.000008646351,5.706496e-7,0.00002982276,0.00724085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6191343,"threshold_uncertainty_score":0.4122863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852604759397385,"score_gpt":0.2760046761190636,"score_spread":0.2574786285250897,"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."}}