{"id":"W3037425605","doi":"10.1007/s10668-020-00834-7","title":"(De)coupling and (De)carbonizing in the economies and energy systems of the G20","year":2020,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Restructuring; Energy (signal processing); Energy consumption; Jurisdiction; Carbonization; Production (economics); Energy supply; Natural resource economics; Energy system; Economy; Business; Low-carbon economy; Environmental science; Economics; Greenhouse gas; Engineering; Microeconomics; Chemistry; Finance; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077313,0.0001932033,0.0002143659,0.00001659811,0.0002282295,0.00005761382,0.0001972036,0.00007657032,0.00003383996],"category_scores_gemma":[0.0001220566,0.000131061,0.00003016851,0.00008872011,0.0007199084,0.0001573122,0.000534737,0.000163394,5.713343e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006646706,"about_ca_system_score_gemma":0.00004353769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004906779,"about_ca_topic_score_gemma":0.00002887804,"domain_scores_codex":[0.9985543,0.0001607331,0.0003371954,0.0003761465,0.0002023551,0.0003693076],"domain_scores_gemma":[0.9993967,0.0001520473,0.00008963279,0.0002276424,0.000002022555,0.000131898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002176124,0.00005020819,0.9832851,0.0001125469,0.000006464197,0.000004157442,0.01157067,0.002025939,0.00007518184,0.0003762523,0.00001479632,0.002456939],"study_design_scores_gemma":[0.0002619528,0.00004279345,0.9750563,0.000007373279,0.00001077635,0.000006590212,0.01366044,0.004310278,0.00020756,0.001090618,0.005180143,0.0001651905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961871,0.0005070333,0.0001639221,0.002410653,0.00001312833,0.0003196388,0.000001371094,0.000007576719,0.000389584],"genre_scores_gemma":[0.9991453,0.0001189614,0.0001638031,0.0003666069,0.0000119593,0.00004696993,0.000001028765,0.000009401682,0.000135988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008228807,"threshold_uncertainty_score":0.5344513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008162297260228794,"score_gpt":0.190246170700911,"score_spread":0.1820838734406822,"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."}}