{"id":"W2621041108","doi":"10.14738/assrj.410.3180","title":"Study on the relationship between Oil Consumption and Economic Growth In Quebec","year":2017,"lang":"en","type":"article","venue":"Advances in Social Sciences Research Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Causality (physics); Granger causality; Oil consumption; Consumption (sociology); Oil price; Error correction model; Energy consumption; Econometrics; Macroeconomics; Monetary economics; Ecology; Engineering","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":[0.0003739574,0.0001799376,0.0001962287,0.001235554,0.0009838889,0.0008247525,0.0003886627,0.0002580669,0.003859189],"category_scores_gemma":[0.001507711,0.00008590386,0.0003454972,0.003174842,0.0003773754,0.0003166847,0.0002885478,0.0005381046,0.0001927147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01826764,"about_ca_system_score_gemma":0.01126345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914241,"about_ca_topic_score_gemma":0.9931203,"domain_scores_codex":[0.9997751,0.00003770239,0.00001064482,0.00003519877,0.00005510245,0.00008636279],"domain_scores_gemma":[0.9982678,0.0004069787,0.0002418386,0.00005055535,0.0008008117,0.0002320687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006267898,0.00006598858,0.9872693,0.00002027174,0.00008419094,0.000205773,0.0004648439,0.0008637586,0.0002304471,0.0009094898,0.002134204,0.007688981],"study_design_scores_gemma":[0.000002634169,0.00001090493,0.9940356,0.00001527063,0.00002555598,0.00002340633,0.001205674,0.002141991,0.00007315716,0.00004072734,0.002418385,0.0000066205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888209,0.000655611,0.0002147525,0.00103549,0.00001298093,0.00001393725,0.003174662,0.00001470861,0.006056955],"genre_scores_gemma":[0.9957002,0.0002618911,0.0000958606,0.00005927123,0.000004951591,0.000005491318,0.001040419,0.000002964848,0.00282887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01826764,"threshold_uncertainty_score":0.1325416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1927944873981184,"score_gpt":0.457539469755251,"score_spread":0.2647449823571326,"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."}}