{"id":"W4401533800","doi":"10.1016/j.ijhydene.2024.08.023","title":"Advanced modeling of PEM electrolyzers for microgrid systems: Incorporating electrochemical and thermal models","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; York University","funders":"Khalifa University of Science, Technology and Research","keywords":"Microgrid; Proton exchange membrane fuel cell; Electrochemistry; Computer science; Materials science; Chemistry; Chemical engineering; Fuel cells; Electrode; 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":[0.0004200946,0.0002243243,0.0004249925,0.0003773913,0.00003842114,0.0000977112,0.0004402052,0.0001084543,0.000004911066],"category_scores_gemma":[0.00005373393,0.0001963434,0.0002559715,0.0001419488,0.00004517527,0.0004453076,0.0000557995,0.0001646308,4.836004e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002157226,"about_ca_system_score_gemma":0.0002441408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004540935,"about_ca_topic_score_gemma":0.00004370871,"domain_scores_codex":[0.9978302,0.0000741073,0.001011273,0.0002557127,0.0005506988,0.0002780594],"domain_scores_gemma":[0.9985831,0.0001685651,0.0004316203,0.0001238271,0.0005782252,0.0001146576],"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":[0.0001476422,0.00002223914,0.000004713656,0.00003128529,0.0005171664,0.00003584304,0.00005662474,0.5801405,0.3802015,0.03421455,0.00002039058,0.004607534],"study_design_scores_gemma":[0.0005592211,0.0001281699,1.115273e-7,0.0002845656,0.0000512893,0.0006922554,0.00007654766,0.7792677,0.2122589,0.003804594,0.00272536,0.000151249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8377251,0.02399119,0.1358498,0.0001712005,0.001229218,0.00008116037,0.00001676527,0.00005540155,0.000880192],"genre_scores_gemma":[0.996093,0.0003777215,0.002259621,0.00003669957,0.001011338,0.00002201001,0.00002311935,0.00006530493,0.0001112257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991273,"threshold_uncertainty_score":0.8006653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075936410524387,"score_gpt":0.2409808904064171,"score_spread":0.2302215263011732,"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."}}