{"id":"W4378471716","doi":"10.1016/j.prime.2023.100174","title":"Thermal management of polymer electrolyte membrane fuel cells: comparative assessment of cooling systems","year":2023,"lang":"en","type":"article","venue":"e-Prime - Advances in Electrical Engineering Electronics and Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coolant; Proton exchange membrane fuel cell; Heat transfer; Materials science; Nuclear engineering; Electrolyte; Water cooling; Hydrogen fuel; Hydrogen; Operating temperature; Active cooling; Thermodynamics; Fuel cells; Chemistry; Chemical engineering; Electrode; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001908627,0.000261457,0.0005539182,0.0002912275,0.00002236609,0.00001600014,0.0001680052,0.0001241021,0.000008308268],"category_scores_gemma":[0.000001913865,0.000248557,0.0000609942,0.0008459717,0.00002570091,0.0001093423,0.00003896054,0.0002452278,0.000001262309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108049,"about_ca_system_score_gemma":0.00002419838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000203395,"about_ca_topic_score_gemma":0.000002022869,"domain_scores_codex":[0.9983802,0.00002509379,0.0005115705,0.0002399479,0.0002250205,0.0006181784],"domain_scores_gemma":[0.9995686,0.00008588194,0.00008093168,0.0001709251,0.00002648103,0.00006720787],"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":[0.00002067702,0.00002717106,0.000003079124,0.0006998741,0.0001212638,0.000007991765,0.00002817486,0.7556719,0.2325926,0.009971072,0.000007871239,0.0008483476],"study_design_scores_gemma":[0.0004729582,0.0001539892,0.00005014026,0.0001207903,0.0000319559,0.000003229524,0.00001344489,0.7542478,0.2396908,0.00005141926,0.004904156,0.0002593381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4406439,0.5256174,0.01159178,0.00001531625,0.001399034,0.0004208436,0.00002199417,0.0007562079,0.01953346],"genre_scores_gemma":[0.90535,0.09403776,0.0003242422,0.000002157848,0.00003554773,0.00003596767,0.00001254889,0.00004440943,0.000157385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4647061,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005011198373912324,"score_gpt":0.2227515146768856,"score_spread":0.2177403163029732,"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."}}