{"id":"W2101748817","doi":"10.3141/1880-01","title":"Running Out of and Into Oil: Analyzing Global Oil Depletion and Transition Through 2050","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peak oil; Middle East; Oil shale; Shale oil; Unconventional oil; Petroleum; Oil reserves; Oil sands; Context (archaeology); Tight oil; Fossil fuel; Resource (disambiguation); Oil production; Production (economics); Petroleum industry; Natural resource economics; Environmental science; Petroleum engineering; Geography; Geology; Economics; Environmental engineering; Waste management; Engineering; Climate change; Oceanography; Archaeology","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":[0.004169147,0.0002784972,0.0005654053,0.0005446798,0.0007563282,0.0001317337,0.0005902439,0.0002865495,0.00007464798],"category_scores_gemma":[0.00030835,0.0002245534,0.0002978209,0.001893374,0.001371216,0.0009965174,0.00001485088,0.001556592,0.000003977363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742249,"about_ca_system_score_gemma":0.0005873868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08213644,"about_ca_topic_score_gemma":0.1374374,"domain_scores_codex":[0.9932894,0.00099657,0.001379789,0.00050586,0.002940669,0.0008877495],"domain_scores_gemma":[0.9949494,0.000470136,0.0003406987,0.0003942464,0.003449415,0.0003961021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01381427,0.001532691,0.2368221,0.005749175,0.001190766,0.0006414301,0.06408425,0.1010597,0.02045263,0.2961466,0.0004246085,0.2580817],"study_design_scores_gemma":[0.008640856,0.002066027,0.7101231,0.001808059,0.0002200889,0.000007368753,0.02120148,0.0004430141,0.003653992,0.2384437,0.01273519,0.0006570734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907035,0.0009764908,0.001255788,0.006074555,0.0001758289,0.0002009998,0.00002877666,0.0000254305,0.0005586963],"genre_scores_gemma":[0.9925765,0.004124091,0.002872287,0.0000413209,0.0001111439,0.0000317184,0.00002775659,0.00003516365,0.0001799539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.473301,"threshold_uncertainty_score":0.9239757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04991844666759323,"score_gpt":0.3713323322709974,"score_spread":0.3214138856034042,"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."}}