{"id":"W2054493106","doi":"10.2118/0905-0060-jpt","title":"Oil and Gas Reserves Estimates","year":2005,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum industry; Commission; Business; Consistency (knowledge bases); Fossil fuel; Submarine pipeline; Accounting; Finance; Computer science; Environmental science; Engineering; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0002650099,0.00009392865,0.0002166322,0.0004635653,0.00002345167,0.00001874214,0.000157875,0.0001269274,0.00001922675],"category_scores_gemma":[0.0001812669,0.00008216477,0.00003935116,0.0001548301,0.00004060913,0.0001355334,0.00002415032,0.0003178525,0.000004634966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003426247,"about_ca_system_score_gemma":0.000007879721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.489107e-7,"about_ca_topic_score_gemma":0.000001469689,"domain_scores_codex":[0.9993817,0.00001000022,0.0002930558,0.00005647846,0.0001004942,0.000158294],"domain_scores_gemma":[0.9996345,0.00007546334,0.000056861,0.0001271152,0.00005172077,0.00005432242],"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":[0.00000738131,0.000009509634,0.002050321,0.00003849427,0.00004324462,0.00001630018,0.00002725804,0.8805405,0.01134083,0.0005776504,0.0004068522,0.1049416],"study_design_scores_gemma":[0.001079019,0.0001697719,0.001364639,0.00009008376,0.00003094718,0.0006113746,0.00007859145,0.8499175,0.01488006,0.001945042,0.1296185,0.0002144539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781943,0.004338529,0.01383521,0.002231966,0.0001458138,0.000003268118,6.494178e-7,0.000193058,0.001057227],"genre_scores_gemma":[0.8616928,0.001053871,0.1367906,0.000006405626,0.0001484372,0.000001228291,1.990518e-7,0.00002058261,0.0002859111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292116,"threshold_uncertainty_score":0.3350582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009451360286801738,"score_gpt":0.2579078648752967,"score_spread":0.248456504588495,"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."}}