{"id":"W3201713839","doi":"10.1007/s40534-021-00256-9","title":"Concept development and testing of the UK’s first hydrogen-hybrid train (HydroFLEX)","year":2021,"lang":"en","type":"article","venue":"Railway Engineering Science","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovate UK; Engineering and Physical Sciences Research Council; Ballard Power Systems","keywords":"Propulsion; Automotive engineering; Engineering; Unit testing; Procurement; Documentation; Stack (abstract data type); Crew; Fuel cells; Aeronautics; Computer science; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002003285,0.0003947344,0.0002002757,0.0003483853,0.0005784235,0.001011952,0.001033291,0.0009366411,0.006527931],"category_scores_gemma":[0.001015017,0.0002216278,0.0003017057,0.0001509259,0.001010576,0.001359248,0.001289338,0.0008853534,0.001263181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560984,"about_ca_system_score_gemma":0.002002029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004044937,"about_ca_topic_score_gemma":0.003827528,"domain_scores_codex":[0.9991798,0.00008438654,0.00001913847,0.0001020004,0.0004999959,0.0001146326],"domain_scores_gemma":[0.9991542,0.000079192,0.00004875035,0.00007419051,0.0004154745,0.0002282419],"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":[0.001774764,0.000839158,0.01379537,0.001304884,0.00007248489,0.003730777,0.004565748,0.01492979,0.732579,0.03372408,0.02504553,0.1676386],"study_design_scores_gemma":[0.0004387643,0.01641148,0.01677661,0.0002432779,0.00008903747,0.002405233,0.002362501,0.01790776,0.5878451,0.00238548,0.3529685,0.0001663569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513072,0.000990385,0.07396262,0.00217865,0.0008917167,0.001867759,0.001450396,0.001642245,0.06570897],"genre_scores_gemma":[0.9178482,0.0004124389,0.03286919,0.0002868796,0.00005357958,0.0004183972,0.0008541821,0.0001556255,0.04710147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006527931,"threshold_uncertainty_score":0.02183813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007772577992132623,"score_gpt":0.1813709344192806,"score_spread":0.173598356427148,"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."}}