{"id":"W1590015835","doi":"","title":"ENERGY USE, INCOME AND CARBON DIOXIDE EMISSIONS: DIRECT AND MULTI-HORIZON CAUSALITY IN CANADA","year":2014,"lang":"en","type":"preprint","venue":"DergiPark (Istanbul University)","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Granger causality; Causality (physics); Economics; Econometrics; Greenhouse gas; Horizon; Energy (signal processing); Multivariate statistics; Statistics; Mathematics; Physics; Ecology; Biology","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":[0.0005188855,0.0003484288,0.0004763773,0.002045923,0.001758457,0.001857542,0.0005446211,0.0003365609,0.002966093],"category_scores_gemma":[0.001993762,0.0002157228,0.0009092665,0.004074605,0.0009782657,0.0007255487,0.001017684,0.0007787799,0.0001352961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0261098,"about_ca_system_score_gemma":0.03303569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958861,"about_ca_topic_score_gemma":0.9962986,"domain_scores_codex":[0.9995415,0.00002531264,0.00002195843,0.00008336465,0.0001166629,0.0002112112],"domain_scores_gemma":[0.9987098,0.0002271539,0.0002620796,0.00004738754,0.0005283037,0.0002253228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001355939,0.00004763281,0.9621875,0.00008979758,0.0002417735,0.00084754,0.0007462208,0.006677977,0.0003563088,0.007152234,0.002495904,0.01902149],"study_design_scores_gemma":[0.00001671724,0.00001311628,0.9808184,0.00007601021,0.0002073562,0.0001125262,0.001746324,0.008986626,0.0005466267,0.001539084,0.005886065,0.00005105031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811918,0.004380852,0.0009043562,0.002117535,0.00003889385,0.00001982437,0.004586594,0.0000370358,0.006723173],"genre_scores_gemma":[0.9936683,0.001564587,0.0003336388,0.00005233567,0.000007160539,0.00000357148,0.001432752,0.000008598739,0.002929129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0261098,"threshold_uncertainty_score":0.1894407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822739052161153,"score_gpt":0.1719786404301029,"score_spread":0.1537512499084913,"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."}}