{"id":"W4212851779","doi":"10.1016/j.jcomm.2022.100247","title":"Interfuel substitution: A copula approach","year":2022,"lang":"en","type":"article","venue":"Journal of commodity markets","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; University of Calgary","funders":"","keywords":"Substitution (logic); Copula (linguistics); Normality; Econometrics; Computer science; Coal; Economics; Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003429054,0.0001170223,0.0004384934,0.0002354599,0.0002365598,0.00005771715,0.0005079561,0.00004387939,0.001831874],"category_scores_gemma":[0.000163098,0.0001314184,0.000246677,0.0002293892,0.00005544933,0.0002097951,0.0002209418,0.0005665427,0.000007282337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624455,"about_ca_system_score_gemma":0.00004721598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002001461,"about_ca_topic_score_gemma":0.000003010196,"domain_scores_codex":[0.9985314,0.0001268672,0.0008710448,0.0001698514,0.0001110568,0.0001897805],"domain_scores_gemma":[0.9985787,0.00008691111,0.0008661891,0.0003008445,0.00006460146,0.000102707],"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":[0.001551808,0.002214962,0.6880237,0.0001865219,0.0003948948,0.00009447425,0.000735603,0.0007057374,0.00001290556,0.2448428,0.05698027,0.004256404],"study_design_scores_gemma":[0.001825,0.0002858447,0.1717826,0.00001470289,0.00002095348,0.0004652719,0.0001554438,0.1574287,0.000003251042,0.0886226,0.5789884,0.0004073067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8414986,0.0019906,0.02313885,0.0009168464,0.001951483,0.0001777517,0.0002835028,0.00001719091,0.1300252],"genre_scores_gemma":[0.9980844,0.00005549672,0.001039847,0.0001699274,0.0001282888,0.000006691469,0.00001291713,0.00001139707,0.0004910569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5220081,"threshold_uncertainty_score":0.9990806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367496191483896,"score_gpt":0.2262354664534819,"score_spread":0.192560504538643,"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."}}