{"id":"W2562921544","doi":"10.1016/j.energy.2016.12.095","title":"How to enhance the future use of energy policy simulation models through ex post validation","year":2016,"lang":"en","type":"article","venue":"Energy","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; York University","keywords":"System dynamics; Energy policy; Model validation; Energy modeling; Domain (mathematical analysis); Energy (signal processing); Electricity; Simulation modeling; Field (mathematics); Computer science; Energy system; Operations research; Industrial engineering; Efficient energy use; Engineering; Renewable energy; Economics; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07405556,0.001855016,0.001656065,0.00141758,0.001017246,0.005551036,0.003560069,0.002945757,0.008528212],"category_scores_gemma":[0.2535236,0.001160983,0.001622362,0.001020137,0.001843652,0.0138419,0.003145559,0.004839584,0.002379859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814039,"about_ca_system_score_gemma":0.008523484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129087,"about_ca_topic_score_gemma":0.009403452,"domain_scores_codex":[0.9774247,0.01777677,0.001146597,0.0009802947,0.002108298,0.0005633236],"domain_scores_gemma":[0.7466159,0.1372593,0.0103619,0.06121685,0.0420064,0.002539586],"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":[0.00167736,0.002998539,0.06841841,0.00111951,0.001036277,0.000301498,0.001279848,0.6201634,0.009855192,0.05952724,0.0137159,0.2199069],"study_design_scores_gemma":[0.0003082666,0.0006573313,0.005990003,0.0008464213,0.0002288605,0.00008628405,0.000591456,0.9141617,0.01622492,0.04909448,0.01164774,0.0001624964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1704316,0.0008549583,0.7776365,0.01872454,0.0009958255,0.001023516,0.001874456,0.004627255,0.02383135],"genre_scores_gemma":[0.669457,0.000519256,0.3244132,0.001167521,0.0001306963,0.0003683681,0.001646793,0.0004672263,0.001829968],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07405556,"threshold_uncertainty_score":0.3916479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1432517505351125,"score_gpt":0.3971880507541118,"score_spread":0.2539363002189994,"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."}}