{"id":"W4318261551","doi":"10.1016/b978-0-323-95108-1.00004-5","title":"Effects of an hourly tariff on the electricity power sector—the Honduran model","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Tariff; Electricity; Consumption (sociology); Environmental economics; Electricity demand; Business; Economics; Outcome (game theory); Electricity generation; Natural resource economics; Power (physics); Operations management; Microeconomics; Engineering; International economics; 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":[0.001089031,0.001010687,0.001555508,0.0006052782,0.00133336,0.003445729,0.002059911,0.002124963,0.01261693],"category_scores_gemma":[0.003200881,0.0007142672,0.001377582,0.001100869,0.001356632,0.002592873,0.001229741,0.002241086,0.0008323661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004337729,"about_ca_system_score_gemma":0.001965506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2383475,"about_ca_topic_score_gemma":0.1729181,"domain_scores_codex":[0.9994988,0.0002156799,0.00001096582,0.00005238589,0.00003858191,0.0001834658],"domain_scores_gemma":[0.9986602,0.0007935771,0.0001457569,0.00008067382,0.000176322,0.0001435431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003730523,0.0001686599,0.00226263,0.00005954515,0.00006702853,0.0003435777,0.00006936563,0.930466,0.0003160573,0.05275783,0.006273751,0.006842474],"study_design_scores_gemma":[0.000119241,0.0001298852,0.001420344,0.00002397094,0.00009368693,0.00004007091,0.00018173,0.9751569,0.0001767703,0.02014342,0.002475145,0.00003876694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7162579,0.002249515,0.01930542,0.00391163,0.000501261,0.000113648,0.002572655,0.0002905997,0.2547973],"genre_scores_gemma":[0.9586763,0.0006994237,0.001006885,0.0001828972,0.00005222232,0.00002551358,0.0002402227,0.00007413021,0.03904254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2383475,"threshold_uncertainty_score":0.4739203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127146429610994,"score_gpt":0.1865356414810523,"score_spread":0.1752641771849423,"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."}}