{"id":"W2990409485","doi":"10.2118/1219-0049-jpt","title":"Technology Focus: Reserves Management","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Maturity (psychological); Resource (disambiguation); Process (computing); Petroleum industry; Project management; Relevance (law); Computer science; Resource management (computing); Process management; Business; Environmental resource management; Engineering; Systems engineering; Economics","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":[0.0002359181,0.0001513055,0.0003261636,0.002036981,0.00002595409,0.00001384344,0.0005349485,0.0002818259,0.00008889513],"category_scores_gemma":[0.00002159309,0.0001344221,0.00008937551,0.0006865069,0.00008143621,0.0001598413,0.00009904834,0.0005860192,0.0001053088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009114334,"about_ca_system_score_gemma":0.000009626378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.110863e-7,"about_ca_topic_score_gemma":0.000001349113,"domain_scores_codex":[0.9989432,0.00001027629,0.0004495835,0.000142448,0.0001756242,0.0002788329],"domain_scores_gemma":[0.9992883,0.000009358806,0.0001472006,0.0004126796,0.0001067653,0.00003573446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00010121,0.0002532167,0.03756982,0.000466576,0.0009448784,0.0004378218,0.00006903912,0.002589724,0.08385058,0.04926243,0.03540984,0.7890449],"study_design_scores_gemma":[0.001395997,0.001211969,0.001434426,0.0002302177,0.00007962134,0.001394262,0.0009494115,0.0002857802,0.5429747,0.1118196,0.3377448,0.0004792231],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707907,0.00365963,0.002006832,0.008087616,0.001082044,0.0001187968,0.000001668143,0.001424483,0.01282823],"genre_scores_gemma":[0.9866734,0.0009051712,0.0112805,0.00001397375,0.00009156485,0.000009108145,2.594576e-7,0.0000315644,0.0009944602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7885656,"threshold_uncertainty_score":0.5481572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00332260232971524,"score_gpt":0.2005615169841406,"score_spread":0.1972389146544253,"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."}}