{"id":"W4400776303","doi":"10.3390/app14146235","title":"Evaluation of Hydrogen Generation with Hybrid Renewable Energy Sources","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Government of Canada","keywords":"TRNSYS; Renewable energy; Photovoltaic system; Environmental science; Automotive engineering; Hydrogen production; Wind power; Electricity; Process engineering; Variable renewable energy; Electric power system; Engineering; Power (physics); Hydrogen; Meteorology; Electrical engineering; Thermal","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002627156,0.0001803404,0.0002145829,0.0002562064,0.0002169951,0.0001559021,0.0003189412,0.00004624163,0.000199217],"category_scores_gemma":[0.00002580168,0.0001307006,0.00004853716,0.0008852735,0.0002959617,0.0002387022,0.00004021078,0.00004421988,0.00002693875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004794,"about_ca_system_score_gemma":0.0005511305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01045108,"about_ca_topic_score_gemma":0.005098256,"domain_scores_codex":[0.9969584,0.0001506474,0.0003352853,0.0005560736,0.001697215,0.0003023436],"domain_scores_gemma":[0.999311,0.00007323462,0.000114089,0.0002807034,0.0001505621,0.00007035532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003855665,0.00001657266,0.00002527821,0.00001319311,0.00005775741,0.000003054423,0.0001414636,0.8366339,0.1180584,0.02789367,0.000728388,0.01642441],"study_design_scores_gemma":[0.0001711645,0.00006591922,0.000004801913,0.00003853635,0.00009009077,0.00002832567,0.0001793937,0.3499533,0.6303162,0.003780173,0.01519272,0.0001793649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.712098,0.002544221,0.00453804,0.00006859394,0.0004043248,0.0001604515,0.000004488254,0.0001988096,0.279983],"genre_scores_gemma":[0.9976594,0.00001949179,0.0005052091,0.00003587923,0.0003917112,0.0001306618,0.00002351541,0.00002442381,0.001209727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5122578,"threshold_uncertainty_score":0.9961384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591162134995788,"score_gpt":0.2566532103320681,"score_spread":0.2207415889821102,"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."}}