{"id":"W4404345647","doi":"10.2139/ssrn.4976130","title":"Extremal Dependence in Australian Electricity Markets","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electricity; Economics; Business; Agricultural economics; Engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001215001,0.0002139589,0.0008235776,0.001056194,0.001069123,0.002294507,0.0008215448,0.000795152,0.007001557],"category_scores_gemma":[0.009560104,0.0003375282,0.0004580253,0.001053317,0.001646743,0.002434346,0.001320206,0.002228575,0.000222724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760906,"about_ca_system_score_gemma":0.0008259478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388283,"about_ca_topic_score_gemma":0.01259319,"domain_scores_codex":[0.999606,0.0001540799,0.00001373848,0.00005198434,0.00008772479,0.00008656553],"domain_scores_gemma":[0.9978709,0.001115718,0.0003052255,0.0001728219,0.0002943006,0.0002409943],"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":[0.0002388405,0.000066298,0.006170426,0.0001133903,0.00006172102,0.0004142468,0.0004076522,0.05801762,0.0006480314,0.9097905,0.007335025,0.01673639],"study_design_scores_gemma":[0.00003545342,0.00004250643,0.02051892,0.00004128135,0.0000292238,0.0001645215,0.0003832183,0.2834356,0.0002543771,0.6916533,0.003404856,0.0000368703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118932,0.001072462,0.02141446,0.003074456,0.00006974957,0.00001691751,0.0002220911,0.00007102467,0.06216561],"genre_scores_gemma":[0.9930909,0.000283126,0.0006563807,0.00005049045,0.00003507505,0.000006533685,0.00005415533,0.00001739334,0.005805967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388283,"threshold_uncertainty_score":0.0276041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007896446523018777,"score_gpt":0.2256391270456967,"score_spread":0.217742680522678,"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."}}