{"id":"W2118004422","doi":"10.5547/issn0195-6574-ej-volsi2006-nosi2-1","title":"Hybrid Modeling: New Answers to Old Challenges Introduction to the Special Issue of The Energy Journal","year":2006,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Conversation; Energy (signal processing); Management science; Engineering ethics; Computer science; Sociology; 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":[0.0009227028,0.0001910359,0.0001706967,0.00004307297,0.0006751975,0.00009442079,0.0008933386,0.00004352967,0.001588766],"category_scores_gemma":[0.00006675299,0.00009386353,0.0001763769,0.0001839345,0.0001680372,0.000222442,0.0003053055,0.0003496553,0.00002835726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004910271,"about_ca_system_score_gemma":0.00003908436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556211,"about_ca_topic_score_gemma":0.0008410359,"domain_scores_codex":[0.9979779,0.0002817004,0.0004060157,0.0002092133,0.0007015248,0.0004236804],"domain_scores_gemma":[0.9990628,0.00002676309,0.0001747707,0.0004823001,0.00001794489,0.0002354484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001176768,0.0001088133,0.0004168594,0.000001152012,0.00002561317,0.000005632707,0.001516085,0.7623928,0.002708435,0.001251413,0.1714326,0.06002284],"study_design_scores_gemma":[0.0004962615,0.0003266063,0.01435597,0.00001698141,0.00006320046,0.001046597,0.002715594,0.002916786,0.01446654,0.02516099,0.9380918,0.0003426958],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7901208,0.0005379035,0.01021212,0.1877564,0.00245106,0.0001585773,0.000003394577,0.00001419338,0.00874557],"genre_scores_gemma":[0.9720246,0.0003597692,0.0001917968,0.001244271,0.01772354,0.000002847622,5.608053e-7,0.0000212933,0.008431355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7666591,"threshold_uncertainty_score":0.9993239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008484459739324927,"score_gpt":0.2075504961204628,"score_spread":0.1990660363811378,"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."}}