{"id":"W220437134","doi":"","title":"Volatility of the Utilities Industry: Its Causal Relationship to Other Nine Industries","year":2014,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Granger causality; Economics; Econometrics; Stock (firearms); Causality (physics); Financial economics; Monetary economics; Engineering","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":[0.0004951443,0.000189731,0.0002940278,0.002926032,0.0002641303,0.001333846,0.0002100687,0.0003449819,0.001687845],"category_scores_gemma":[0.002456703,0.0001115482,0.0004738372,0.003997877,0.0002225842,0.0004868484,0.0005530812,0.0006105531,0.000191681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005752268,"about_ca_system_score_gemma":0.0006417897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004591775,"about_ca_topic_score_gemma":0.004115288,"domain_scores_codex":[0.9995436,0.00007031579,0.00003574213,0.00006832538,0.0001981069,0.00008386184],"domain_scores_gemma":[0.9976604,0.0007633683,0.000979293,0.00007927082,0.000354683,0.0001629937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006802925,0.00007673319,0.9713427,0.0000911416,0.0001554955,0.0002529252,0.0001627088,0.001356649,0.0006865464,0.006063098,0.0004555036,0.01928855],"study_design_scores_gemma":[0.000006913138,0.0000725499,0.9823992,0.00006144449,0.000130362,0.0002831697,0.0005226395,0.006279671,0.001024397,0.005838562,0.003363475,0.00001765323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876515,0.002651566,0.002297485,0.0004091503,0.00002678202,0.00002512229,0.0004384089,0.00001639877,0.006483686],"genre_scores_gemma":[0.9975578,0.001251351,0.0002746015,0.00002331309,0.00003206238,0.000005395085,0.0002588948,0.000002477382,0.0005941293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004591775,"threshold_uncertainty_score":0.009130061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04744391673205639,"score_gpt":0.2418550114869601,"score_spread":0.1944110947549037,"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."}}