{"id":"W1984611717","doi":"10.1093/imamat/hxh092","title":"Electrical coupling in proton exchange membrane fuel cell stacks: mathematical and computational modelling","year":2005,"lang":"en","type":"article","venue":"IMA Journal of Applied Mathematics","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ballard Power Systems","keywords":"Stack (abstract data type); Coupling (piping); Proton exchange membrane fuel cell; Mechanics; Voltage; Membrane; Flow (mathematics); Steady state (chemistry); Volumetric flow rate; Unit (ring theory); Electrical network; Chemistry; Topology (electrical circuits); Control theory (sociology); Electronic engineering; Physics; Engineering; Computer science; Mathematics; Electrical engineering; Mechanical engineering; Physical chemistry","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":[0.0004705772,0.0001825236,0.0004301253,0.0001768784,0.00002638356,0.00006019188,0.0001141208,0.0001314948,0.00007181855],"category_scores_gemma":[0.000006883659,0.0001521576,0.00004804797,0.0001223465,0.00003036443,0.0001060879,0.0000228999,0.0003178082,0.00002081588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006982046,"about_ca_system_score_gemma":0.00002296835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.858727e-7,"about_ca_topic_score_gemma":1.380577e-7,"domain_scores_codex":[0.9985763,0.000004416328,0.0007943991,0.00009391885,0.0002868608,0.0002440355],"domain_scores_gemma":[0.9994338,0.000157297,0.0001748374,0.0000824731,0.00005262984,0.0000990048],"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":[0.00002440273,0.000156546,0.000001002775,0.004946539,0.00002581536,0.00001374,0.00122257,0.9891289,0.003379899,0.0009631363,0.00003808693,0.00009931437],"study_design_scores_gemma":[0.0008644799,0.00003344904,5.314537e-7,0.000158842,0.00003322422,0.00007891926,0.0001006084,0.9680908,0.00810522,0.02204837,0.0003230311,0.0001625764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7917319,0.008196617,0.1739696,0.00008871798,0.0001623165,0.001164392,0.000007671184,0.0001239841,0.02455486],"genre_scores_gemma":[0.7230884,0.002659655,0.2739843,0.00001781287,0.0001583286,0.00001514837,0.000001741946,0.00005928161,0.00001530807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1000148,"threshold_uncertainty_score":0.6204807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103059466002186,"score_gpt":0.2106484431199187,"score_spread":0.1996178484598969,"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."}}