{"id":"W2514258415","doi":"10.5547/01956574.37.4.smos","title":"Changes in Energy Intensity in Canada","year":2016,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Energy intensity; Panel data; Economics; Endogeneity; Index (typography); Efficient energy use; Investment (military); Pollution haven hypothesis; Energy (signal processing); Econometrics; Agricultural economics; Macroeconomics; Foreign direct investment; Engineering; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000324147,0.00009120178,0.0001080957,0.00002511354,0.00006761281,0.000009650214,0.0002484353,0.00002563654,0.001276204],"category_scores_gemma":[0.00002588262,0.00004660751,0.00002148786,0.0001151659,0.0001161906,0.0001145704,0.0001534231,0.0001095571,0.000005408886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602689,"about_ca_system_score_gemma":0.00006806677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8489835,"about_ca_topic_score_gemma":0.9942335,"domain_scores_codex":[0.9990881,0.00009465425,0.0001515859,0.0001141583,0.0002244282,0.0003270855],"domain_scores_gemma":[0.9996515,0.00003250747,0.00005209111,0.000161133,0.000002372212,0.0001004209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000545339,0.00004134849,0.9337041,5.291967e-7,0.000004126212,0.00009825645,0.0002616019,0.001165334,0.004020846,0.000167626,0.001694128,0.05878754],"study_design_scores_gemma":[0.0003905935,0.00003431147,0.9716502,0.00001516478,0.000002015499,0.0001117706,0.000787281,0.0001570556,0.005206782,0.003720307,0.01778906,0.0001354735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927055,0.000041987,0.0000838605,0.005008607,0.0001200226,0.00001508359,8.574485e-7,0.000002471962,0.002021624],"genre_scores_gemma":[0.9976908,0.0002012271,0.00001175354,0.0009656861,0.00004258968,0.00000293949,1.840441e-7,0.000006050558,0.001078785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14525,"threshold_uncertainty_score":0.9996368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005487253858765173,"score_gpt":0.1787478124409098,"score_spread":0.1732605585821446,"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."}}