{"id":"W3199662504","doi":"10.1016/j.egyai.2021.100114","title":"A Review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells","year":2021,"lang":"en","type":"review","venue":"Energy and AI","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Toyota Motor Engineering and Manufacturing North America","keywords":"Proton exchange membrane fuel cell; Electrolyte; Fuel cells; Computational model; Current (fluid); Mathematical model; Computer science; Simulation; Engineering; Physics; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.0001449602,0.0002822308,0.001904271,0.0000404001,0.00001637698,0.0000114348,0.0001545768,0.000207043,0.00003901572],"category_scores_gemma":[0.000004548656,0.0002202998,0.0001796869,0.00009235522,0.00003801134,0.00006121919,0.00003750212,0.00007920953,4.580731e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006868027,"about_ca_system_score_gemma":0.0000764592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002077413,"about_ca_topic_score_gemma":6.631714e-7,"domain_scores_codex":[0.9988989,0.00006797518,0.0005184304,0.0002659921,0.00007497556,0.0001737563],"domain_scores_gemma":[0.9991859,0.0001371377,0.0001860123,0.0003956392,0.00004250613,0.00005277243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001507673,0.00005086317,3.783367e-9,0.8596006,0.001003349,0.000004932673,0.000007732298,0.004255081,0.007344417,0.001178078,0.001836887,0.124703],"study_design_scores_gemma":[0.00071575,0.00007517898,1.952515e-9,0.08812703,0.002458685,0.000006431082,3.898215e-7,0.04075453,0.008328675,0.0000909251,0.8590159,0.0004264958],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.03958e-7,0.997189,0.001217683,0.000008689098,0.00008821175,0.0002389966,0.00073347,0.00002373718,0.0004997705],"genre_scores_gemma":[0.00004652201,0.9986565,0.0001709428,0.00006790136,0.00008971341,0.00003881732,0.0007429858,0.00005804507,0.0001286269],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.857179,"threshold_uncertainty_score":0.8983565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670198278099179,"score_gpt":0.2545638067790625,"score_spread":0.2378618239980707,"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."}}