{"id":"W4412437025","doi":"10.2139/ssrn.5353294","title":"Global Analysis of Energy Expansion Effect on Petroleum Engineering Programs","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Petroleum; Energy (signal processing); Petroleum engineering; Environmental science; Economics; Engineering; Geology; Mathematics; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001458494,0.0004954762,0.0009496505,0.0007554465,0.00004669571,0.00007044416,0.0005140454,0.000403627,0.000007057169],"category_scores_gemma":[0.00007379199,0.0004718468,0.0008007635,0.001084744,0.00001373232,0.00005387994,0.0001129759,0.002271685,8.756472e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151696,"about_ca_system_score_gemma":0.0005005678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000504025,"about_ca_topic_score_gemma":0.00009497001,"domain_scores_codex":[0.9968622,0.0001384588,0.0006303704,0.000330561,0.0004734195,0.001564991],"domain_scores_gemma":[0.9989614,0.0001560438,0.0001426284,0.0005346708,0.00008829156,0.0001169404],"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":[0.00003220413,0.00003018268,0.001524518,0.0001650455,0.004593622,0.000002912234,0.00001406615,0.9651605,0.00004887138,0.006141231,0.000009352361,0.0222775],"study_design_scores_gemma":[0.000469566,0.0003042038,0.001282109,0.0002956641,0.001452931,0.00001025796,0.00001489497,0.9924779,0.0002393729,0.002629673,0.0004245297,0.0003989143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4319478,0.004763069,0.5612493,0.00001508811,0.0009278543,0.0001118743,0.00002225341,0.0003064125,0.0006564378],"genre_scores_gemma":[0.996145,0.00190435,0.001370323,0.00000388641,0.0001933676,0.0000298519,0.00008093844,0.00004271667,0.0002296111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5641972,"threshold_uncertainty_score":0.9997733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006312868501283004,"score_gpt":0.2587431573981102,"score_spread":0.2524302888968272,"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."}}