{"id":"W2900752270","doi":"10.3390/pr6120238","title":"Modeling and Simulation of Energy Systems: A Review","year":2018,"lang":"en","type":"review","venue":"Processes","topic":"Process Optimization and Integration","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Categorization; Computer science; Process (computing); Context (archaeology); Field (mathematics); Situated; Management science; Sustainability; Industrial engineering; Engineering design process; Energy (signal processing); Key (lock); Risk analysis (engineering); Data science; Operations research; Artificial intelligence; Engineering; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.00007929644,0.0001834001,0.0006809869,0.00009748894,0.00001905224,0.00002507466,0.00008549911,0.0001131841,0.000009249557],"category_scores_gemma":[0.0001793526,0.00014594,0.00004209633,0.0003206602,0.00001268354,0.0001585191,0.00001219391,0.00005444231,0.000003222462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002006311,"about_ca_system_score_gemma":0.00008046337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003105984,"about_ca_topic_score_gemma":0.000001977781,"domain_scores_codex":[0.9992057,0.00001659567,0.0004678691,0.0001365387,0.00009593855,0.00007733723],"domain_scores_gemma":[0.9994139,0.0000416787,0.0001084383,0.0001049251,0.0003041214,0.00002695434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.037783e-7,0.000002898736,1.729383e-8,0.6520776,0.00002507354,6.065314e-8,0.000009622127,0.2276571,5.89417e-9,0.00001714211,0.0001221929,0.1200881],"study_design_scores_gemma":[0.00001066568,0.000004631606,1.942083e-10,0.06914108,0.0001251225,0.0000020439,0.000001420109,0.508011,3.690161e-7,0.000008187353,0.4226113,0.00008417956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.405291e-8,0.8365251,0.1624918,7.779083e-7,0.00006043275,0.0001544295,0.00000947104,0.00008957215,0.000668351],"genre_scores_gemma":[0.0001121765,0.9993949,0.0001705292,0.000009208832,0.00006789232,0.0000846668,0.00008295332,0.00003585573,0.00004179509],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5829365,"threshold_uncertainty_score":0.5951259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04664231608753403,"score_gpt":0.3084638605225717,"score_spread":0.2618215444350377,"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."}}