{"id":"W7013265793","doi":"","title":"Russian oil output","year":2009,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Oil boom; Russian economy; Petroleum; Fell; Oil reserves; Gross domestic product","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004118597,0.0006984856,0.0004000205,0.001528629,0.0005280949,0.002048729,0.0004285433,0.0003096782,0.03606441],"category_scores_gemma":[0.001365741,0.0002311511,0.0005417908,0.001892814,0.0001804819,0.0009209688,0.001205438,0.0008415932,0.03799362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105774,"about_ca_system_score_gemma":0.001214721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007259539,"about_ca_topic_score_gemma":0.004051758,"domain_scores_codex":[0.9994528,0.0000573458,0.00006095819,0.0001064693,0.0002361652,0.00008632128],"domain_scores_gemma":[0.9996643,0.00003402788,0.00007646876,0.00004316478,0.0001464989,0.00003557437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001133542,0.0001531769,0.06634033,0.002501993,0.000461365,0.001066703,0.001125102,0.004868122,0.009119338,0.06206317,0.5298291,0.3213381],"study_design_scores_gemma":[0.0000307266,0.0001002234,0.06321341,0.0001934692,0.00006726916,0.0005035151,0.0004118011,0.001112437,0.004307559,0.001972486,0.928057,0.00003014339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.141207,0.007510659,0.003340421,0.003127784,0.002171957,0.00009530322,0.1784647,0.002479398,0.6616028],"genre_scores_gemma":[0.479708,0.01384612,0.001520529,0.00100927,0.000535516,0.0001700775,0.1958697,0.001033303,0.3063076],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03606441,"threshold_uncertainty_score":0.1206475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582112841740253,"score_gpt":0.2866950072743294,"score_spread":0.2508738788569269,"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."}}