{"id":"W2999849774","doi":"10.1016/j.eneco.2019.104642","title":"Citation-based systematic literature review of energy-growth nexus: An overview of the field and content analysis of the top 50 influential papers","year":2020,"lang":"en","type":"article","venue":"Energy Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Sultan Qaboos University","keywords":"Nexus (standard); Citation; Publishing; Energy (signal processing); Field (mathematics); Content analysis; Systematic review; Citation analysis; Process (computing); Publication; Bibliometrics; Social science; Sociology; Positive economics; Political science; Economics; Computer science; Library science; Statistics; Law; Mathematics","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":[0.0003962189,0.0002163231,0.001153534,0.0001686395,0.00005119772,0.0000287574,0.0005644693,0.0001245158,0.0001450907],"category_scores_gemma":[0.0003128899,0.000175781,0.0005300484,0.0005028805,0.0001134555,0.0001753745,0.0001301503,0.00009397334,6.723293e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006611093,"about_ca_system_score_gemma":0.00003217199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002468884,"about_ca_topic_score_gemma":0.0001607756,"domain_scores_codex":[0.9977536,0.0001073129,0.001535151,0.0004008269,0.0000444099,0.0001587137],"domain_scores_gemma":[0.9969807,0.0002418018,0.001894692,0.0007563003,0.00004087461,0.00008565609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004334234,0.0001534771,0.1426013,0.0256718,0.002319738,4.014883e-7,0.0005624235,0.01337754,0.0001265979,0.8147613,0.0001653843,0.0002166374],"study_design_scores_gemma":[0.01075125,0.001663428,0.4297251,0.0695568,0.01044252,0.000009756461,0.001703688,0.3674589,0.03024457,0.034495,0.03844075,0.005508198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7811502,0.2043586,0.0009931284,0.005873784,0.0006562787,0.0006494775,0.001029942,0.00002417929,0.005264395],"genre_scores_gemma":[0.9654564,0.02689567,0.0001150494,0.007336792,0.00003631609,0.00003180154,0.00004247167,0.00002484664,0.00006068039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7802663,"threshold_uncertainty_score":0.7168141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373061161592213,"score_gpt":0.2143264039459449,"score_spread":0.1805957923300228,"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."}}