{"id":"W2207882182","doi":"10.1109/vppc.2015.7353031","title":"Thermal Management Strategies for Cold Start of Automotive PEMFC","year":2015,"lang":"en","type":"article","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Automotive industry; Cold start (automotive); Proton exchange membrane fuel cell; Energy management; Automotive engineering; Energy exchange; Thermal; Nuclear engineering; Computer science; Energy (signal processing); Fuel cells; Engineering; Aerospace engineering; Thermodynamics; Chemical engineering","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":[0.000306558,0.0004983375,0.0004333885,0.0003224089,0.0003784744,0.0005373478,0.0006521471,0.0002744814,0.001842425],"category_scores_gemma":[0.0002932934,0.0001728192,0.0004149209,0.0001475948,0.000254274,0.0006031512,0.0003322639,0.000368214,0.0002322637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717896,"about_ca_system_score_gemma":0.0003711149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249701,"about_ca_topic_score_gemma":0.002776267,"domain_scores_codex":[0.9998304,0.00003706124,0.000004752205,0.0000275841,0.00005866806,0.0000416001],"domain_scores_gemma":[0.9998866,0.00003537686,0.0000196974,0.00001448256,0.00003151405,0.00001236162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001228903,0.0002925447,0.003572878,0.0004061425,0.00007174805,0.0002771892,0.0002672456,0.7142229,0.149039,0.009133372,0.0009700446,0.120518],"study_design_scores_gemma":[0.00005492836,0.001330864,0.005394923,0.00003481218,0.00009813035,0.0001106475,0.0002350902,0.8599288,0.1252749,0.002663691,0.004826119,0.00004705141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7795568,0.001830069,0.20022,0.0001480842,0.00006488937,0.0001268819,0.00009795873,0.0004582417,0.01749716],"genre_scores_gemma":[0.995061,0.0001642881,0.003411247,0.00001031588,0.00000400649,0.00001461073,0.00002677393,0.0000175927,0.001290228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002249701,"threshold_uncertainty_score":0.006163597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863203792019617,"score_gpt":0.2148684700820106,"score_spread":0.1962364321618145,"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."}}