{"id":"W4281390587","doi":"10.1306/01282221038","title":"Ultimate potentials of old oil pools: A quantitative range","year":2022,"lang":"en","type":"article","venue":"AAPG Bulletin","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Penn West Exploration (Canada)","funders":"","keywords":"Geology; Range (aeronautics); Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001966867,0.0005261746,0.0002976938,0.002954246,0.0004922349,0.001109464,0.00083172,0.0003517666,0.00240692],"category_scores_gemma":[0.00349717,0.0002770989,0.0004365212,0.001165171,0.001402143,0.001431727,0.001346643,0.0004556741,0.0003221409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081386,"about_ca_system_score_gemma":0.000522745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007711214,"about_ca_topic_score_gemma":0.00904969,"domain_scores_codex":[0.9991336,0.0001100493,0.00004728276,0.00009138874,0.0005345057,0.00008307964],"domain_scores_gemma":[0.9986363,0.0005793237,0.0001941583,0.0001446076,0.0003855102,0.00006014881],"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":[0.000549176,0.0001206419,0.1316712,0.0004840392,0.0002020178,0.0004921815,0.0008935693,0.6503408,0.07251125,0.02981832,0.0009843024,0.1119325],"study_design_scores_gemma":[0.00005014884,0.0008660961,0.1825732,0.0002254015,0.0001372184,0.0007285625,0.001921735,0.5485883,0.2058825,0.04225286,0.01646316,0.0003108248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7820339,0.0006231526,0.1774432,0.0001429898,0.00001008547,0.0001552403,0.001633661,0.0005883971,0.03736941],"genre_scores_gemma":[0.9905685,0.00009592497,0.00713112,0.00001053911,0.000002584735,0.00005294156,0.0003423157,0.00002747107,0.001768509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007711214,"threshold_uncertainty_score":0.01533264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132434721924414,"score_gpt":0.268429394673963,"score_spread":0.2471050474547188,"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."}}