{"id":"W4410550097","doi":"10.1016/j.ijhydene.2025.05.150","title":"Sustainability analysis of electrolysis based green hydrogen production pathways: A life cycle perspective","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen production; Sustainability; Electrolysis; Production (economics); Perspective (graphical); Environmental science; Electrolysis of water; Life-cycle assessment; Hydrogen; Chemistry; Computer science; Economics; Electrode; Macroeconomics; Physical chemistry","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":[0.00096485,0.0008509953,0.0004426284,0.001717511,0.0005014995,0.001880055,0.0006742605,0.0005041069,0.001743018],"category_scores_gemma":[0.0009607826,0.0002218942,0.0009342596,0.0017278,0.0005465121,0.0009128481,0.000649088,0.000338668,0.0001370518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01109767,"about_ca_system_score_gemma":0.007163281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2523872,"about_ca_topic_score_gemma":0.312233,"domain_scores_codex":[0.9996142,0.00008034944,0.00001363646,0.00003303168,0.000170295,0.00008851774],"domain_scores_gemma":[0.9995775,0.00009769306,0.00004198578,0.00001904731,0.0002365556,0.00002731468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001322271,0.00008701075,0.02095338,0.0005332706,0.0002454835,0.000251527,0.0001812115,0.8916826,0.00825607,0.02177952,0.001387923,0.05450977],"study_design_scores_gemma":[0.00002982853,0.000724168,0.037382,0.0002701003,0.0004009827,0.0001773547,0.002130936,0.8686831,0.01977034,0.03222681,0.03808881,0.0001155361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.770937,0.008150093,0.1379253,0.001750279,0.00005829735,0.0006984959,0.008839383,0.0003208328,0.07132034],"genre_scores_gemma":[0.9765588,0.002851784,0.01444554,0.0000587329,0.000005828187,0.0001029531,0.001876756,0.00003094522,0.004068691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2523872,"threshold_uncertainty_score":0.5018362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006995511852044682,"score_gpt":0.249645863988053,"score_spread":0.2426503521360083,"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."}}