{"id":"W2095314421","doi":"10.2118/0508-0036-jpt","title":"Assessing the Past, Present, and Near Future of the Global Energy Market","year":2008,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Natural resource economics; Peak oil; Economics; Production (economics); Investment (military); Fossil fuel; Petroleum industry; Resource depletion; Economic shortage; Scarcity; Work (physics); Business; Market economy; Politics; Government (linguistics); Environmental science; Engineering; Climate change; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275901,0.000416369,0.0003192815,0.001479778,0.0005784988,0.006062456,0.0005526117,0.002302678,0.006673112],"category_scores_gemma":[0.00439514,0.0002155006,0.0004051729,0.002038738,0.001011967,0.01293598,0.001157234,0.001231301,0.0004451004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002703635,"about_ca_system_score_gemma":0.001212449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007381475,"about_ca_topic_score_gemma":0.008938761,"domain_scores_codex":[0.9995864,0.000121941,0.00001910405,0.00008115394,0.0001138275,0.00007769047],"domain_scores_gemma":[0.9989967,0.0003630674,0.000273662,0.00003781965,0.0001763499,0.0001523741],"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":[0.000100984,0.0001093308,0.06439769,0.0002654426,0.0001477715,0.0007972741,0.0007854953,0.1369085,0.001002414,0.6671619,0.02325114,0.105072],"study_design_scores_gemma":[0.00001762324,0.0001920203,0.0495115,0.0002991615,0.00005748728,0.0004156453,0.008078821,0.2579721,0.0007944613,0.5951561,0.08732551,0.0001796297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5835279,0.01404562,0.05274692,0.06664202,0.0006900923,0.0001288956,0.002774599,0.0002203589,0.2792236],"genre_scores_gemma":[0.9885811,0.003509687,0.002701063,0.0005843348,0.0001106961,0.00002075246,0.0003374819,0.00002565195,0.00412911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007381475,"threshold_uncertainty_score":0.02232373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008641020657425141,"score_gpt":0.2674838764016007,"score_spread":0.2588428557441755,"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."}}