{"id":"W4404106619","doi":"10.1016/j.ijhydene.2024.10.436","title":"Synergy-based hydrogen pricing in hydrogen-integrated electric power system: Sensitivity analysis","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Hydrogen; Sensitivity (control systems); Hydrogen fuel; Electric power; Power (physics); Computer science; Environmental science; Chemistry; Physics; Thermodynamics; Engineering; Electronic engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001803902,0.0006109165,0.001160869,0.004844793,0.00008411937,0.0002716954,0.0009238925,0.0002988275,0.0001937809],"category_scores_gemma":[0.0001899677,0.0005373856,0.00122994,0.003704904,0.00006679625,0.0005530777,0.0001068012,0.0005392809,0.00005402511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266131,"about_ca_system_score_gemma":0.0008541975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0130043,"about_ca_topic_score_gemma":0.004352186,"domain_scores_codex":[0.9937635,0.000860911,0.002033423,0.0007226107,0.001876647,0.0007428806],"domain_scores_gemma":[0.9971291,0.0004938685,0.0007724627,0.0004986759,0.0007619594,0.0003439591],"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":[0.0001616772,0.0001870816,0.0009284288,0.00003127602,0.005834131,0.01031955,0.0001025621,0.8987073,0.07226273,0.008732052,0.0001480268,0.00258514],"study_design_scores_gemma":[0.0009927388,0.0001362393,0.0001032148,0.0006217742,0.0006873109,0.002243991,0.0001376026,0.6951492,0.2667788,0.0001872629,0.03233694,0.0006249397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727448,0.003497275,0.01600924,0.0003277586,0.001988196,0.00008493413,0.00004211968,0.0002674006,0.005038301],"genre_scores_gemma":[0.9978365,0.00006407601,0.0002035927,0.0001902035,0.0007842106,0.00001965408,0.0001164859,0.0001310751,0.0006542522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035581,"threshold_uncertainty_score":0.9997078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006546539339093858,"score_gpt":0.2312176607849472,"score_spread":0.2246711214458533,"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."}}