{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002700293,0.0002043002,0.0002254384,0.0003042136,0.00004768193,0.00009422383,0.001809832,0.0001692954,0.000008413336],"category_scores_gemma":[0.0001196264,0.0001066393,0.0003042351,0.0003921042,0.0001686561,0.00008531386,0.000169888,0.000301376,0.000001046943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705538,"about_ca_system_score_gemma":0.00008306307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003761893,"about_ca_topic_score_gemma":0.0001044473,"domain_scores_codex":[0.9985206,0.0000236671,0.000570582,0.0001430652,0.0004785286,0.0002636237],"domain_scores_gemma":[0.9987888,0.0003678454,0.0002077894,0.0003479765,0.000258517,0.00002911486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000312054,0.0001312187,0.0002277647,0.0001488816,0.00484313,0.000174735,0.000463577,0.2517522,0.5053837,0.1608302,0.005708132,0.07002431],"study_design_scores_gemma":[0.0002486508,0.00006210508,0.00001374021,0.00006593052,0.0001047881,0.0003442406,0.00009659785,0.02119222,0.8911897,0.01280326,0.0737498,0.0001289874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386567,0.04928358,0.0004919108,0.004524194,0.005209707,0.0001809504,0.00006712333,0.0002751178,0.001310667],"genre_scores_gemma":[0.9968206,0.00230147,0.00005837711,0.00005018391,0.0005837781,0.00002563109,0.000001813118,0.00005138487,0.0001067308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3858059,"threshold_uncertainty_score":0.4348623,"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."}}