{"id":"W2905252310","doi":"10.3968/10608","title":"Comparison of Oil Well Productivity Evaluation Methods Based on Different Data","year":2018,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Petroleum engineering; Scope (computer science); Variety (cybernetics); Logging; Test data; Scale (ratio); Engineering; Computer science; Artificial intelligence; Cartography; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135682,0.0001318094,0.0002134371,0.0001758912,0.00004256528,0.00001641586,0.0001204353,0.00003990918,0.00002542385],"category_scores_gemma":[0.0001579192,0.0001199433,0.000008892888,0.0001475579,0.0000318001,0.000438801,0.00003362712,0.0000920204,0.000004164333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007176985,"about_ca_system_score_gemma":0.00002874516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.894195e-7,"about_ca_topic_score_gemma":0.00002545893,"domain_scores_codex":[0.9988312,0.0001632357,0.0003542194,0.0002430107,0.0002866111,0.0001217643],"domain_scores_gemma":[0.9993487,0.0001448509,0.00005668312,0.0003408702,0.00007073725,0.00003813115],"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":[0.00002091307,0.00004174845,0.002206791,0.00006163769,0.000004358859,5.206712e-8,0.0003051789,0.7748298,0.0004196506,0.00002593607,0.00001734443,0.2220666],"study_design_scores_gemma":[0.0004908721,0.00004490983,0.002249003,0.0000504438,0.000004120468,8.647104e-8,0.00008635528,0.9398008,0.03738699,0.00009434794,0.01966747,0.00012458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07141609,0.0007357381,0.9255484,0.00005271636,0.0004590409,0.00008318078,0.000002252128,0.00007216313,0.001630462],"genre_scores_gemma":[0.8153301,0.0001187476,0.1843544,0.000006781813,0.00004346203,0.00004124847,0.00007156622,0.00001173474,0.00002188251],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7439141,"threshold_uncertainty_score":0.4891147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123867482568389,"score_gpt":0.4222780169823971,"score_spread":0.3098912687255583,"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."}}