{"id":"W4317809529","doi":"10.3390/en16031234","title":"Calibration of Grid Models for Analyzing Energy Policies","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Grid; Marginal cost; Base load power plant; Electricity; Context (archaeology); Coal; Natural gas; Fossil fuel; Electricity pricing; Electricity generation; Environmental economics; Environmental science; Distributed generation; Economics; Engineering; Microeconomics; Electricity market; Power (physics); Waste management; Electrical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002068603,0.001223114,0.0008771728,0.0009390581,0.0006137164,0.001724246,0.00172202,0.001787049,0.006966154],"category_scores_gemma":[0.008237181,0.0008583512,0.0008651575,0.001484357,0.0009734529,0.001362517,0.001066496,0.002566766,0.000681187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004411811,"about_ca_system_score_gemma":0.003370869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07530896,"about_ca_topic_score_gemma":0.05234846,"domain_scores_codex":[0.9992254,0.0004468204,0.0000244487,0.00009841521,0.000113535,0.00009146497],"domain_scores_gemma":[0.9980495,0.001192521,0.0002535188,0.0002031726,0.0002447361,0.00005659575],"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":[0.000007261887,0.000006907311,0.0004300167,0.000008351687,0.000009073767,0.00001397744,0.000009603085,0.9869516,0.00004780976,0.01105156,0.0004418793,0.001021945],"study_design_scores_gemma":[0.000007192063,0.000004762611,0.0002111625,0.000007892821,0.000005737634,0.000005396062,0.00001864423,0.9886953,0.00006793899,0.009757378,0.001212239,0.000006410396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08041564,0.0007373861,0.8518333,0.001536065,0.0001840746,0.000349128,0.003307696,0.001227933,0.06040877],"genre_scores_gemma":[0.9188278,0.0009130516,0.06746503,0.0002674743,0.00006459471,0.0005358171,0.002052917,0.0002599087,0.009613284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07530896,"threshold_uncertainty_score":0.1497413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443451826835392,"score_gpt":0.2161089233103503,"score_spread":0.2016744050419964,"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."}}