{"id":"W4405506217","doi":"10.1016/j.ijhydene.2024.12.207","title":"The carbon-clean electricity-lightweight material nexus of the CCS technology benefits for the hydrogen fuel cell buses","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Nexus (standard); Electricity; Hydrogen; Fuel cells; Carbon fibers; Hydrogen fuel; Environmental science; Greenhouse gas; Electricity system; Carbon capture and storage (timeline); Electricity generation; Materials science; Computer science; Chemistry; Chemical engineering; Engineering; Power (physics); Climate change; Electrical engineering; Embedded system; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004051076,0.0004591906,0.0002442705,0.0004946539,0.0006111224,0.001325793,0.0004354944,0.000793435,0.01588693],"category_scores_gemma":[0.0009390184,0.0001297705,0.0002933191,0.0004462709,0.0006163444,0.002350125,0.0008298466,0.001088121,0.001688859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008878735,"about_ca_system_score_gemma":0.001409966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060754,"about_ca_topic_score_gemma":0.007722852,"domain_scores_codex":[0.9998247,0.00002009969,0.000003856805,0.00001767441,0.00009358523,0.0000402187],"domain_scores_gemma":[0.999605,0.00007753033,0.00004231556,0.00003604811,0.0001697759,0.00006929583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001605857,0.0004469748,0.008952258,0.001180403,0.0001736337,0.000886967,0.0002265454,0.02079326,0.2610085,0.3806576,0.02811815,0.29595],"study_design_scores_gemma":[0.0001433926,0.002091954,0.02861372,0.0005958464,0.0003705684,0.0008180865,0.002064541,0.03621779,0.3326116,0.2251646,0.3711532,0.0001546998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6751221,0.01037792,0.03422096,0.02733407,0.001864035,0.0001143003,0.001400618,0.0007328785,0.2488332],"genre_scores_gemma":[0.9767162,0.002382255,0.003802176,0.000441335,0.0002058354,0.00002060176,0.0002689464,0.0000706327,0.01609204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01588693,"threshold_uncertainty_score":0.05314708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005539518570448527,"score_gpt":0.1996317402175257,"score_spread":0.1940922216470772,"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."}}