{"id":"W7114984454","doi":"10.1016/j.ijhydene.2025.153000","title":"Estimating the demand and cost-effectiveness of a hydrogen-based decarbonization strategy for airports","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Transport Canada; Carleton University","keywords":"Aviation; Hydrogen vehicle; Range (aeronautics); Hydrogen; Greenhouse gas; Emissions trading; Baseline (sea); Supply and demand","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":[0.0009420023,0.0007043647,0.000386285,0.0007408597,0.0003655925,0.001222644,0.0007586707,0.0007942553,0.001614642],"category_scores_gemma":[0.002554825,0.0004978509,0.0006405059,0.0009352852,0.0003658266,0.001406053,0.0004601927,0.0007390611,0.000134624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008575019,"about_ca_system_score_gemma":0.003396966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3386902,"about_ca_topic_score_gemma":0.2657113,"domain_scores_codex":[0.9996418,0.0001093874,0.00001206712,0.00005692897,0.0000606923,0.0001191832],"domain_scores_gemma":[0.9988284,0.0007277358,0.0001294171,0.00004302023,0.0001805924,0.00009079139],"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":[0.0001390633,0.0000664832,0.01499515,0.0000508071,0.00004247943,0.00007873699,0.00002066059,0.9771786,0.0009036853,0.00183012,0.0004653291,0.004228937],"study_design_scores_gemma":[0.00001690782,0.0001393752,0.01133829,0.00001056603,0.00004319956,0.00001376246,0.0002411074,0.9862196,0.0007592161,0.0006841565,0.0005150746,0.0000188588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886751,0.0001994719,0.004297218,0.0003530708,0.000007194927,0.00006719646,0.001625958,0.0000368333,0.0047379],"genre_scores_gemma":[0.9969367,0.0001245742,0.001831847,0.00001904268,0.000002792244,0.00001243559,0.0005055446,0.000004849392,0.0005622596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3386902,"threshold_uncertainty_score":0.6734376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371194919883045,"score_gpt":0.2797712562804669,"score_spread":0.2660593070816364,"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."}}