{"id":"W3023039829","doi":"10.3390/su12093867","title":"Energy Related CO2 Emissions before and after the Financial Crisis","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Financial crisis; Divisia index; Energy intensity; Recession; Population; Greenhouse gas; China; Economics; Economy; Business; Economic policy; Financial system; Energy (signal processing); Geography; Macroeconomics; Demography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003403585,0.0002045006,0.0001832505,0.00001027164,0.0003351247,0.00003845969,0.0002335946,0.0001271548,0.002230084],"category_scores_gemma":[0.0007888564,0.0001387434,0.0001022584,0.0003093068,0.0008180265,0.0002475462,0.000636948,0.0002528471,0.00002308742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070918,"about_ca_system_score_gemma":0.00005659693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000575147,"about_ca_topic_score_gemma":0.0002159058,"domain_scores_codex":[0.9983242,0.0001921236,0.0002743117,0.0005010908,0.0002647661,0.0004435438],"domain_scores_gemma":[0.9990864,0.00005306941,0.00005481446,0.0004349521,0.00002182786,0.0003489744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002199268,0.0001434856,0.9711459,0.00005557244,0.00000924741,0.00004664513,0.009051734,0.0001507997,0.00003768716,0.0007958109,0.003510479,0.01483266],"study_design_scores_gemma":[0.000249675,0.0001736121,0.9270369,0.000001411963,0.00002366383,0.000006289009,0.003747527,0.0007825299,0.00008388464,0.0429969,0.02470096,0.0001966861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636274,0.00007347282,0.0002250186,0.03468328,0.00003172967,0.0003457007,0.000007912491,0.00005592287,0.0009495548],"genre_scores_gemma":[0.9968044,0.000009717372,0.0000514296,0.002529747,0.00003049249,0.00006009146,0.000004035572,0.00001399532,0.0004961496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04410909,"threshold_uncertainty_score":0.998682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003338904499923073,"score_gpt":0.2094966232095743,"score_spread":0.2061577187096512,"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."}}