{"id":"W4244162513","doi":"10.1016/s1464-2859(18)30278-5","title":"Loop Energy fuel cell range-extenders for California truck project","year":2018,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Range (aeronautics); Heavy duty; Engineering; Fuel cells; Automotive engineering; Extender; Software deployment; Track (disk drive); Waste management; Environmental science; Aeronautics; Aerospace engineering; Mechanical engineering; Chemistry; Chemical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003784833,0.0002798369,0.0001017831,0.0005584746,0.00196074,0.0007127648,0.0006362312,0.0005219732,0.02983299],"category_scores_gemma":[0.0003645937,0.0001900011,0.0001452074,0.0002882657,0.0002122538,0.0004522906,0.0004714343,0.0006810104,0.003391508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002751846,"about_ca_system_score_gemma":0.008707403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4141952,"about_ca_topic_score_gemma":0.7577972,"domain_scores_codex":[0.9994792,0.000008096918,0.00000403966,0.00003168403,0.0004114008,0.00006559178],"domain_scores_gemma":[0.9995473,0.00001633737,0.000007370026,0.00001614751,0.0003423028,0.00007049715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003197714,0.000487654,0.007967426,0.0001779922,0.00001846522,0.0003604489,0.0003379231,0.002152475,0.01974608,0.007970337,0.7698981,0.1905634],"study_design_scores_gemma":[0.00005732636,0.0002050105,0.01426869,0.00004368927,0.00001632298,0.0001205937,0.0004072186,0.001623621,0.0105382,0.0003710714,0.9723231,0.00002502391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1515856,0.002368977,0.006866945,0.006746606,0.0006604519,0.0005523158,0.007921003,0.00325917,0.8200389],"genre_scores_gemma":[0.1858597,0.001996741,0.007333206,0.000650974,0.00005087325,0.0001004913,0.008886841,0.0003302925,0.7947909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4141952,"threshold_uncertainty_score":0.8235686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008712289519246703,"score_gpt":0.1986027058646748,"score_spread":0.1898904163454281,"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."}}