{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001332863,0.001689082,0.00207698,0.002366744,0.0004638428,0.002531428,0.002637826,0.002096296,0.005398967],"category_scores_gemma":[0.003528296,0.000859719,0.001805612,0.005368791,0.0008885145,0.00317602,0.001267721,0.00201007,0.003114517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018877,"about_ca_system_score_gemma":0.002319055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004428801,"about_ca_topic_score_gemma":0.002877581,"domain_scores_codex":[0.9990898,0.0002647545,0.0001333704,0.0001263449,0.0003327676,0.00005295302],"domain_scores_gemma":[0.9970903,0.002130735,0.0001462658,0.0001366471,0.0004265958,0.00006929204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006436858,0.0001215333,0.001199208,0.02209952,0.0003053918,0.0003494525,0.0002330727,0.06632135,0.001438196,0.06379566,0.05078851,0.7932837],"study_design_scores_gemma":[0.00002278749,0.00009740644,0.0009046922,0.007941693,0.0002450066,0.0007104533,0.0001527386,0.04178543,0.0008537074,0.0438908,0.9033031,0.00009225238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006892031,0.9639604,0.02721363,0.001194138,0.0008104445,0.00003911054,0.0001731444,0.0001933215,0.005726659],"genre_scores_gemma":[0.006770279,0.98128,0.009686192,0.0002415356,0.0007078946,0.00004945765,0.00030373,0.00005480678,0.0009062204],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005398967,"threshold_uncertainty_score":0.01806134,"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."}}