{"id":"W4405882213","doi":"10.1016/j.ijhydene.2024.12.265","title":"Techno-economic and environmental analysis of Cu–Cl cycle for hydrogen production in hybrid refuelling stations: A case study of Highway 401, Canada","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen production; Environmental science; Production (economics); Hydrogen; Chemistry; Economics; Macroeconomics","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":[0.0004492662,0.0007635862,0.0004428762,0.001073005,0.001398287,0.001252828,0.001165247,0.0007256959,0.001789425],"category_scores_gemma":[0.000734365,0.0003276283,0.0006777511,0.001678522,0.0007120143,0.0003812861,0.0003518853,0.0004084103,0.00009695264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0179251,"about_ca_system_score_gemma":0.006678629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9113129,"about_ca_topic_score_gemma":0.9292326,"domain_scores_codex":[0.9996866,0.00004675874,0.000008344392,0.00003708376,0.0001023791,0.0001189056],"domain_scores_gemma":[0.9995897,0.0001551656,0.00002469695,0.00001658545,0.00017184,0.00004204002],"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":[0.0003730417,0.0004490709,0.03268033,0.0001499275,0.00007229894,0.001384645,0.0001734616,0.9412078,0.005359835,0.002271393,0.001019205,0.01485891],"study_design_scores_gemma":[0.00008555433,0.0003690148,0.03597955,0.000015482,0.0000789455,0.00007228953,0.001740103,0.9550714,0.004659502,0.0004952707,0.001385084,0.00004780612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937364,0.00006012285,0.001101624,0.0000581119,0.000002884595,0.00009305697,0.0003540004,0.00002470227,0.00456911],"genre_scores_gemma":[0.9968458,0.00006324195,0.00128829,0.000006335934,9.818945e-7,0.00001850589,0.0001618389,0.000006182437,0.00160888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08868706,"threshold_uncertainty_score":0.1784187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009358065262493885,"score_gpt":0.2515359674240534,"score_spread":0.2421779021615595,"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."}}