{"id":"W4310388284","doi":"","title":"Time constant based method for PEM fuel cell model characterization","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Proton exchange membrane fuel cell; Constant (computer programming); Fuel cells; Characterization (materials science); Materials science; Computer science; Chemical engineering; Engineering; Nanotechnology","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":[0.0002213395,0.0005192353,0.0003407076,0.0004269872,0.0002891945,0.0005510626,0.0008575219,0.0008296829,0.00765223],"category_scores_gemma":[0.000840661,0.000196958,0.0003695371,0.0003702539,0.0001545451,0.0006299038,0.0003379914,0.0007263297,0.002057742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870267,"about_ca_system_score_gemma":0.0005272356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00353857,"about_ca_topic_score_gemma":0.003768533,"domain_scores_codex":[0.9998533,0.00002608775,0.000006253731,0.0000333248,0.00006808009,0.00001309071],"domain_scores_gemma":[0.9996136,0.0001396461,0.00002837464,0.00005536005,0.0001517131,0.00001139373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002999709,0.0001881922,0.0009592915,0.0005936956,0.0000895035,0.0002323179,0.0001733569,0.3830207,0.2896067,0.01199919,0.005080734,0.3077563],"study_design_scores_gemma":[0.000004805543,0.00002549929,0.0002483489,0.000006690193,0.00001071786,0.00003968299,0.00001569331,0.9701641,0.02490792,0.0009060773,0.003661949,0.000008573575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01363538,0.000218368,0.979745,0.00005764117,0.00005220484,0.00004958026,0.0001604276,0.001126514,0.004954786],"genre_scores_gemma":[0.6050344,0.0007553871,0.3614881,0.0001402236,0.00005456747,0.0003627226,0.000817369,0.0007954671,0.03055184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00765223,"threshold_uncertainty_score":0.02559924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333687912707404,"score_gpt":0.2242729642298131,"score_spread":0.2109360851027391,"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."}}