{"id":"W4402567352","doi":"10.1002/smtd.202400574","title":"Green Hydrogen Production by Low‐Temperature Membrane‐Engineered Water Electrolyzers, and Regenerative Fuel Cells","year":2024,"lang":"en","type":"review","venue":"Small Methods","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Centre québécois sur les matériaux fonctionnels; Natural Sciences and Engineering Research Council of Canada; Mitacs; École de technologie supérieure; Institut national de la recherche scientifique","keywords":"Electrolysis of water; Electrolysis; Polymer electrolyte membrane electrolysis; Hydrogen production; Water splitting; High-pressure electrolysis; Proton exchange membrane fuel cell; Anode; Oxygen evolution; Membrane electrode assembly; Environmental science; Electrolyte; Process engineering; Materials science; Waste management; Chemical engineering; Hydrogen; Chemistry; Catalysis; Fuel cells; Engineering; Electrode; Electrochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002089729,0.0006583595,0.0005693205,0.001628893,0.0001707943,0.0006033502,0.0003425598,0.000580197,0.002316945],"category_scores_gemma":[0.0001945444,0.0002266917,0.0003667149,0.001763147,0.000164777,0.0008168875,0.00035211,0.0007161392,0.001263483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252978,"about_ca_system_score_gemma":0.0003972633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007848776,"about_ca_topic_score_gemma":0.001152998,"domain_scores_codex":[0.9999124,0.000009167973,0.000007937329,0.00002007014,0.00004062934,0.000009746244],"domain_scores_gemma":[0.9999535,0.00001462186,0.00000867796,0.000002265667,0.0000167672,0.00000404056],"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":[0.00007522829,0.000158509,0.0001954329,0.03878264,0.0001356881,0.000236457,0.0000490006,0.001679078,0.04253799,0.01549763,0.02223993,0.8784124],"study_design_scores_gemma":[0.00001268509,0.0001519874,0.0005728703,0.001900801,0.0001002609,0.0005442737,0.00004426893,0.0005907269,0.01068878,0.002434354,0.9829337,0.00002524117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00133417,0.9929162,0.0009026677,0.0001833298,0.000275074,0.00001285286,0.00006590263,0.00002218341,0.004287598],"genre_scores_gemma":[0.007377405,0.989168,0.0007551094,0.0001235589,0.000100387,0.00001531766,0.00008664648,0.00000334169,0.002370244],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002316945,"threshold_uncertainty_score":0.007750988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445829192314921,"score_gpt":0.3019638530815004,"score_spread":0.2775055611583512,"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."}}