{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004738911,0.0004292062,0.000549208,0.0006686113,0.0002175633,0.0006431959,0.000488565,0.0003991062,0.001570888],"category_scores_gemma":[0.0005253572,0.0002269765,0.0004502894,0.0005574843,0.0001877217,0.0005718798,0.0003946736,0.000270866,0.000245131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000629737,"about_ca_system_score_gemma":0.0002671782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003392188,"about_ca_topic_score_gemma":0.00409501,"domain_scores_codex":[0.9998172,0.00004010277,0.00001182798,0.00002352803,0.00008337571,0.00002393132],"domain_scores_gemma":[0.9997596,0.0001246578,0.0000201018,0.0000151583,0.00006564923,0.00001481223],"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":[0.0006814955,0.0003637312,0.007064896,0.0004615265,0.0001343989,0.000358123,0.00008196876,0.9160215,0.04384569,0.001034844,0.0004221183,0.02952976],"study_design_scores_gemma":[0.00009369015,0.001562962,0.005771811,0.00002077728,0.00006307485,0.00006418286,0.0001414865,0.9393719,0.0507332,0.0004382808,0.001711647,0.00002708256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856951,0.0002529274,0.006815466,0.00004122309,0.00002461458,0.00007877208,0.0004304996,0.0001274363,0.006534011],"genre_scores_gemma":[0.9979771,0.00009269543,0.001235474,0.000005481606,0.000001517902,0.00002494666,0.000109353,0.000009204484,0.0005442225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003392188,"threshold_uncertainty_score":0.006744862,"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."}}