{"id":"W3007062","doi":"10.1177/106002808602000301","title":"Risk-adjusted performance of the utilities industry in the United States and Canada","year":2004,"lang":"en","type":"dissertation","venue":"Drug Intelligence & Clinical Pharmacy","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deregulation; Volatility (finance); Sharpe ratio; Electric power industry; Capital asset pricing model; Business; Financial economics; Economics; Econometrics; Electricity; Monetary economics; Engineering; Portfolio; Macroeconomics","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":[0.0011016,0.0003905352,0.000527802,0.002847129,0.0009488093,0.002021256,0.0008996774,0.0004169329,0.01770848],"category_scores_gemma":[0.007271034,0.0001781471,0.000787041,0.005201257,0.0002644355,0.0004827786,0.0005550734,0.001074228,0.002431705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02061659,"about_ca_system_score_gemma":0.03523239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9782296,"about_ca_topic_score_gemma":0.9692886,"domain_scores_codex":[0.9979758,0.0002052417,0.0001038966,0.0002602274,0.001021465,0.0004334553],"domain_scores_gemma":[0.9925646,0.0003815557,0.0005576562,0.0002236908,0.005361146,0.0009113804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000429797,0.0001101192,0.4942164,0.0002168863,0.0006923027,0.0002293359,0.0001943307,0.00874105,0.0001972458,0.01808712,0.3636234,0.1132621],"study_design_scores_gemma":[0.0001019734,0.00006785228,0.7812165,0.0001954633,0.0002733874,0.0003032403,0.0005278114,0.01242915,0.0004387176,0.002191434,0.202191,0.00006352497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2526985,0.02261837,0.006111697,0.02328022,0.001756404,0.0003984706,0.3769663,0.001257111,0.3149129],"genre_scores_gemma":[0.7506858,0.01227772,0.002682223,0.00137251,0.0003539881,0.0001131668,0.08605369,0.0002247068,0.1462362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02177042,"threshold_uncertainty_score":0.1495845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07025658933512562,"score_gpt":0.3315837295498398,"score_spread":0.2613271402147142,"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."}}