{"id":"W2747931890","doi":"10.1016/j.egypro.2017.03.1844","title":"Identification of a Minimum Dataset for CO2-EOR Monitoring at Weyburn, Canada","year":2017,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; Petroleum Technology Research Centre","keywords":"Identification (biology); Petroleum engineering; Data mining; Computer science; Data collection; Geology; Statistics","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000144415,0.00009715282,0.0001310643,0.00002852872,0.0001187236,0.00003324125,0.0002572389,0.0000498424,0.000005581438],"category_scores_gemma":[0.0002381824,0.0001041305,0.0000253115,0.00003238952,0.00001422179,0.0001194327,0.00003408482,0.00003812714,7.267708e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007960243,"about_ca_system_score_gemma":0.00004264497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004396067,"about_ca_topic_score_gemma":0.006118029,"domain_scores_codex":[0.9993554,0.000005959197,0.000226936,0.0001231518,0.0001351961,0.0001533675],"domain_scores_gemma":[0.999295,0.00008157263,0.00007965656,0.0004248693,0.00005692347,0.00006195235],"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":[0.00001733619,0.000007023375,0.001886548,0.000289964,0.00005009478,0.000001788234,0.0000530995,0.9327428,0.04632697,0.0003149878,0.01669443,0.001614953],"study_design_scores_gemma":[0.0005542574,0.00001263477,0.005997757,0.00003993696,0.00002172467,0.000001794571,0.00001620145,0.4849694,0.3760383,0.0001088702,0.1319944,0.0002447347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320018,0.0004304776,0.06381733,0.00006410403,0.002159116,0.000137891,0.001018621,0.00009599315,0.0002746773],"genre_scores_gemma":[0.9956277,0.00003423037,0.00309959,0.000002863155,0.0002392991,0.00004965819,0.0002441716,0.00002631799,0.0006761855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4477734,"threshold_uncertainty_score":0.6645567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969517537703011,"score_gpt":0.2774345798271,"score_spread":0.2577394044500699,"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."}}