{"id":"W4382401498","doi":"10.1016/j.ijhydene.2023.06.090","title":"Hydrogen fuel cell integration and testing in a hybrid-electric propulsion rig","year":2023,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Stack (abstract data type); Propulsion; Automotive engineering; Battery (electricity); Electrically powered spacecraft propulsion; Power (physics); Computer science; Proton exchange membrane fuel cell; Hydrogen fuel; Fuel cells; Hydrogen vehicle; Test bench; Electric motor; Electric power system; Electric power; Hybrid vehicle; Hybrid system; Electrical engineering; Engineering; Aerospace engineering; Embedded system; Physics; Chemical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003541449,0.0004244411,0.0003948422,0.0002954964,0.000430583,0.0004056666,0.0007005886,0.0006591345,0.002459752],"category_scores_gemma":[0.0003185983,0.0001488246,0.0003331374,0.0002931084,0.0002893834,0.0005287005,0.0004404469,0.0004281807,0.0006465301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002791731,"about_ca_system_score_gemma":0.0002922562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197197,"about_ca_topic_score_gemma":0.001287294,"domain_scores_codex":[0.9997914,0.00002112784,0.00001073304,0.00004592647,0.00008911428,0.00004168923],"domain_scores_gemma":[0.9998199,0.00002585826,0.00001276965,0.00003252794,0.00008265069,0.00002633359],"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":[0.000707643,0.0005115822,0.002596704,0.0002299375,0.000043482,0.0004880544,0.0001985135,0.005944348,0.9772198,0.0002676227,0.000352946,0.01143937],"study_design_scores_gemma":[0.00005808389,0.004608667,0.004968728,0.00001415052,0.00002957686,0.0001648117,0.0002369286,0.01016775,0.9771145,0.0001509659,0.002460438,0.00002536118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951957,0.00006262401,0.003338731,0.0000271572,0.00002669314,0.00006923132,0.0002841252,0.0001517687,0.0008439617],"genre_scores_gemma":[0.9955006,0.00006529249,0.002522411,0.00001522719,0.000004454155,0.00005630013,0.0001808038,0.00002289382,0.001631845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002459752,"threshold_uncertainty_score":0.008228719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621063874007236,"score_gpt":0.2589046276754761,"score_spread":0.2426939889354038,"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."}}