{"id":"W4220887534","doi":"10.1088/1742-6596/2208/1/012018","title":"Simulation and optimization of hydrogen-based hybrid renewable energy systems: Software tools and applications","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"TRNSYS; Renewable energy; Computer science; Software; Environmental economics; Hybrid system; Fossil fuel; Simulation software; Energy (signal processing); Engineering; Economics; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.0002436582,0.0001588667,0.0003977904,0.0001196981,0.0002185327,0.0000906854,0.0001659533,0.00003242645,0.0000330051],"category_scores_gemma":[0.00006412118,0.0001593939,0.00006108759,0.0002284556,0.00009784801,0.0005163905,0.00007268438,0.000101337,1.572501e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007112291,"about_ca_system_score_gemma":0.0002685751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008197165,"about_ca_topic_score_gemma":0.00004360183,"domain_scores_codex":[0.9985213,0.0001914595,0.0005854904,0.000171505,0.0003815807,0.0001486732],"domain_scores_gemma":[0.9981619,0.000231845,0.0008450721,0.0002118549,0.0004637452,0.00008564353],"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":[0.00005635863,0.00004972432,0.0001756204,0.00008492306,0.00006127187,0.000004113547,0.0000806766,0.9814741,0.001551255,0.007975336,0.000025032,0.008461599],"study_design_scores_gemma":[0.001054455,0.0004942988,0.00003096485,0.0001506832,0.0001277019,0.0001099004,0.001102182,0.9022194,0.07033993,0.005027821,0.01896049,0.0003822294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01681601,0.0008317236,0.9814609,0.00004313099,0.0001744682,0.0001428476,0.00009461824,0.00003327263,0.0004029871],"genre_scores_gemma":[0.9972055,0.00006074572,0.0021092,0.0000214444,0.0001894185,0.00004878702,0.0000615258,0.00002709911,0.000276301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9803895,"threshold_uncertainty_score":0.6499895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087908007525214,"score_gpt":0.2298945792151933,"score_spread":0.2090154991399411,"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."}}