{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003627304,0.0002659844,0.0003424309,0.002082544,0.001964655,0.00142783,0.0008847134,0.0002349478,0.00483596],"category_scores_gemma":[0.001902692,0.0001805239,0.0006862591,0.007436844,0.0004826813,0.0003737559,0.0008337275,0.0005812008,0.0003870595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05793818,"about_ca_system_score_gemma":0.05347205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985713,"about_ca_topic_score_gemma":0.9988896,"domain_scores_codex":[0.9991313,0.00002792975,0.00003865226,0.0001139794,0.0003911156,0.0002970375],"domain_scores_gemma":[0.9977584,0.0000572689,0.000186832,0.00005312518,0.001650041,0.0002942138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001928501,0.00006394429,0.9174512,0.0002064298,0.0002781128,0.0002457002,0.001869011,0.003399083,0.001040969,0.004204509,0.02158864,0.04945955],"study_design_scores_gemma":[0.000005619658,0.000007001638,0.987422,0.00003244064,0.00002328599,0.00002799553,0.0008378914,0.0009270587,0.0001971454,0.0001042064,0.01039453,0.00002093335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9021953,0.002506077,0.000649451,0.002430669,0.00004446008,0.00006672079,0.0504574,0.0001412529,0.04150878],"genre_scores_gemma":[0.9753116,0.001417222,0.0005222082,0.0002518317,0.000007411768,0.00002191902,0.01340508,0.00003253024,0.009030114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05793818,"threshold_uncertainty_score":0.4203728,"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."}}