{"id":"W2038405930","doi":"10.1016/j.jpowsour.2003.08.043","title":"Numerical optimization study of the catalyst layer of PEM fuel cell cathode","year":2003,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":175,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; BC Innovation Council","funders":"","keywords":"Proton exchange membrane fuel cell; Cathode; Nafion; Catalysis; Current density; Porosity; Materials science; Layer (electronics); Platinum; Electrode; Computer simulation; Current (fluid); Optimal design; Chemical engineering; Chemistry; Composite material; Computer science; Simulation; Engineering; Electrical engineering; Physics; Electrochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002378802,0.00008449706,0.0002358958,0.00005723032,0.00002118457,0.00001188998,0.0001487999,0.00005811608,0.0001087009],"category_scores_gemma":[0.00002473461,0.00005108292,0.00007695711,0.0001322801,0.00001941927,0.00005557029,0.0000121226,0.0001241494,0.000001411906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001418415,"about_ca_system_score_gemma":0.00001582859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001069092,"about_ca_topic_score_gemma":7.606619e-7,"domain_scores_codex":[0.9991502,0.00007260146,0.0004392285,0.00004608243,0.000202658,0.0000892984],"domain_scores_gemma":[0.9994549,0.00003006329,0.0002715637,0.0001258578,0.00008335493,0.00003423248],"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":[0.00001120045,0.0002055523,0.001387055,0.0001635839,0.0000706442,0.000004489107,0.004849631,0.984814,0.008276481,0.000002326898,0.0002106429,0.000004397197],"study_design_scores_gemma":[0.0103073,0.003463895,0.01179226,0.0006822234,0.001553913,0.0004558198,0.03314552,0.02264901,0.8902254,0.0002497277,0.02409313,0.001381803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896993,0.002644016,0.0005532812,0.00001138194,0.0007898597,0.00007984645,0.000001972121,0.000007083418,0.006213227],"genre_scores_gemma":[0.9990364,0.0001806683,0.0006643796,0.000004489931,0.00002682291,3.9035e-7,1.560332e-7,0.00001612489,0.00007051726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.962165,"threshold_uncertainty_score":0.2083101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006971083958462914,"score_gpt":0.1955010312596059,"score_spread":0.188529947301143,"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."}}