{"id":"W4292554365","doi":"10.5539/jsd.v15n5p39","title":"Drivers of Energy Efficiency in West African Countries","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Cointegration; Economics; Ordinary least squares; Energy (signal processing); Econometrics; Panel data; Urbanization; Energy intensity; Demographic economics; Independence (probability theory); Efficient energy use; Development economics; Economic growth; Public economics; Statistics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004346547,0.0002149408,0.000286777,0.001216988,0.0003586805,0.001252027,0.0001484327,0.0002526724,0.001478868],"category_scores_gemma":[0.00110572,0.0002238289,0.0003462181,0.00309405,0.0003107254,0.0008021019,0.0009929058,0.0003515307,0.0001190412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008490292,"about_ca_system_score_gemma":0.0007655049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403643,"about_ca_topic_score_gemma":0.01348433,"domain_scores_codex":[0.9997281,0.00005743386,0.00002429751,0.00003717386,0.00004422052,0.0001087409],"domain_scores_gemma":[0.9994547,0.00009361119,0.0003180819,0.00002276848,0.00006684523,0.00004404645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008721292,0.0000660784,0.9537359,0.0002749339,0.0002110021,0.0007141883,0.002339141,0.004397034,0.001222844,0.01244697,0.001127786,0.02337693],"study_design_scores_gemma":[0.000003746911,0.00002686471,0.9870767,0.000103886,0.00005135185,0.0001385472,0.003146558,0.001090374,0.0003537258,0.0008913374,0.007104671,0.00001221858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954047,0.001268157,0.0001883097,0.0002931371,0.000005714069,0.00001060237,0.000656047,0.00000442449,0.002168873],"genre_scores_gemma":[0.9983914,0.0008550177,0.0001046215,0.00002635293,0.000004030225,0.000007931872,0.0002319939,0.000002531646,0.0003761463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403643,"threshold_uncertainty_score":0.02790946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008467360910003045,"score_gpt":0.1732243647291465,"score_spread":0.1647570038191435,"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."}}