{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003282627,0.0004485986,0.0009726967,0.0005831471,0.000107538,0.00006801327,0.0003831739,0.0003517405,0.00003176311],"category_scores_gemma":[0.0001065075,0.000643238,0.00007777536,0.0001925617,0.0001525898,0.0001891058,0.00100681,0.000444059,0.000002091332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660063,"about_ca_system_score_gemma":0.0002621916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8744615,"about_ca_topic_score_gemma":0.8512479,"domain_scores_codex":[0.9974622,0.000113214,0.0006404674,0.001262397,0.00005631212,0.0004654039],"domain_scores_gemma":[0.9981019,0.0002107401,0.0006216736,0.0007397131,0.00001504091,0.0003109022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007003097,0.0001033747,0.9546835,0.0002504647,0.0002125857,0.0002579143,0.0002230631,0.004524433,0.00002601006,0.03911799,0.0001192998,0.00041127],"study_design_scores_gemma":[0.003181939,0.00008342491,0.7858545,0.0002961631,0.00008731749,0.00001293523,0.0006150604,0.02209694,0.0002450965,0.006494391,0.1784016,0.002630598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827656,0.001357563,0.0005099498,0.0001295111,0.0003810033,0.000176921,0.0003592942,0.0000351231,0.01428502],"genre_scores_gemma":[0.993558,0.002816658,0.0004659125,0.00006322906,0.00003894485,0.000005196107,0.00005638002,0.00005146239,0.002944154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1782823,"threshold_uncertainty_score":0.9996019,"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."}}