{"id":"W4416228253","doi":"10.3390/jrfm18110634","title":"Unveiling Energy Finance Market: A Bibliometric and Content Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Nexus (standard); Sample (material); Bibliometrics; Energy (signal processing); Public finance","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006591767,0.0004477578,0.001044727,0.1805676,0.001172797,0.005591187,0.0005745605,0.0006059541,0.003581533],"category_scores_gemma":[0.03202159,0.0001982313,0.0007916722,0.1794238,0.0008602124,0.005010598,0.002200387,0.0003701776,0.0008037676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690176,"about_ca_system_score_gemma":0.00332215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002668109,"about_ca_topic_score_gemma":0.003540765,"domain_scores_codex":[0.9927964,0.00125597,0.001514887,0.0005236468,0.003471545,0.0004376188],"domain_scores_gemma":[0.9478908,0.03458486,0.007036679,0.001233925,0.008442703,0.0008109992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003193905,0.0002605479,0.4591412,0.0169319,0.001157991,0.00188566,0.01317807,0.00214398,0.008434022,0.02045755,0.02707824,0.4490115],"study_design_scores_gemma":[0.00004504894,0.0002364596,0.8097854,0.004308298,0.001221236,0.002354868,0.02645412,0.00814127,0.005222693,0.01239026,0.1296656,0.0001746181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704891,0.03301251,0.005916381,0.00368443,0.0002258029,0.0006383929,0.04742206,0.0003000487,0.0383114],"genre_scores_gemma":[0.9444973,0.01640217,0.01081843,0.0002289627,0.0005083788,0.0004713359,0.02468162,0.00008156577,0.002310229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8194324,"threshold_uncertainty_score":0.03486103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525739276850792,"score_gpt":0.2126683146375993,"score_spread":0.1974109218690914,"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."}}