{"id":"W1987654504","doi":"10.2118/71033-ms","title":"Analyzing Flowing Production Data with Standard Pressure Transient Methods","year":2001,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"BP (Canada)","funders":"","keywords":"Smoothing; Computer science; Superposition principle; Production (economics); Transformation (genetics); Data set; Function (biology); Flow (mathematics); Data analysis; Derivative (finance); Data mining; Algorithm; Applied mathematics; Mathematics; Mathematical analysis; Artificial intelligence","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":[0.0008705864,0.0001435466,0.0001812648,0.0001032622,0.00005562021,0.00005191994,0.0002117997,0.0000498129,0.00008417053],"category_scores_gemma":[0.00007350842,0.000115106,0.00002489981,0.0003863705,0.00001095448,0.0003867203,0.00002255793,0.0001577411,0.000002367821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002954941,"about_ca_system_score_gemma":0.00001029544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007460112,"about_ca_topic_score_gemma":0.000007259696,"domain_scores_codex":[0.9990965,0.00006957666,0.0001834249,0.000267601,0.0001686428,0.0002142642],"domain_scores_gemma":[0.9991239,0.00006009592,0.000007668979,0.0006899738,0.00004598288,0.00007235572],"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":[0.00001907891,0.000003907445,0.0003678264,0.00005034115,0.00008894285,0.000003003866,0.0001563003,0.9752437,0.003080859,0.00002140741,0.0003648301,0.02059974],"study_design_scores_gemma":[0.0002322905,0.00001954311,0.0004074391,0.00002936097,0.00005510856,0.00001335939,0.0000560081,0.8739159,0.005348526,0.00001310221,0.1197315,0.0001778227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07134949,0.0006093991,0.9244024,0.00009289799,0.000290238,0.0001243977,0.000005231794,0.0006430735,0.00248283],"genre_scores_gemma":[0.270052,0.000104693,0.7290462,0.000004088931,0.0001518023,0.000006784874,0.00002539819,0.00004152936,0.0005675002],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1987025,"threshold_uncertainty_score":0.4693888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03903701258224673,"score_gpt":0.3355755634886128,"score_spread":0.2965385509063661,"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."}}