{"id":"W2743293563","doi":"10.17159/2413-3051/2014/v25i3a2657","title":"The impacts of energy prices and technological innovation on the fossil fuel-related electricity-growth nexus: An assessment of four net energy exporting countries","year":2014,"lang":"en","type":"article","venue":"Journal of Energy in Southern Africa","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Electricity; Economics; Fossil fuel; Granger causality; Natural resource economics; Consumption (sociology); Energy consumption; Short run; Technological change; Economy; Macroeconomics; Econometrics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007016145,0.0003546241,0.0004264564,0.001557963,0.0003272129,0.00118607,0.0002024212,0.0002507076,0.001074937],"category_scores_gemma":[0.002073,0.0001717527,0.0006938986,0.002169901,0.0004403684,0.0009386981,0.000878486,0.0004563461,0.0001053763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007787751,"about_ca_system_score_gemma":0.000594886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02856944,"about_ca_topic_score_gemma":0.03198119,"domain_scores_codex":[0.9997639,0.00005713391,0.00002114138,0.00004215531,0.00003978837,0.00007594661],"domain_scores_gemma":[0.9981195,0.0008777425,0.0005837153,0.00007455022,0.0001886487,0.0001558644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001787807,0.00005636958,0.9828846,0.0000470401,0.000235242,0.0006779574,0.0002217801,0.007917366,0.0004301314,0.001443062,0.0001951252,0.005712517],"study_design_scores_gemma":[0.00002092521,0.0001245609,0.9870058,0.00003107659,0.0001728709,0.0001683744,0.001857967,0.007772539,0.0008680847,0.0004797012,0.001480708,0.00001731221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986951,0.0002000798,0.0001309823,0.00003368749,0.00000226225,0.00000333392,0.0002551843,0.000002567561,0.0006767804],"genre_scores_gemma":[0.9983476,0.0002320145,0.0001623126,0.000006278722,0.000003488901,0.000005108587,0.0009733536,0.000001630307,0.0002682142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02856944,"threshold_uncertainty_score":0.05680627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907478352544304,"score_gpt":0.222402131657351,"score_spread":0.203327348131908,"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."}}