{"id":"W3008714854","doi":"10.1002/fuce.201900171","title":"New CCL|MPL Architecture Reducing Interfacial Gaps and Enhancing PEM Fuel Cell Performance","year":2020,"lang":"en","type":"article","venue":"Fuel Cells","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microporous material; Proton exchange membrane fuel cell; Cathode; Materials science; Chemical engineering; Sintering; Catalysis; Layer (electronics); Membrane electrode assembly; Electrode; Fuel cells; Nanotechnology; Composite material; Anode; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008832079,0.0002928729,0.00031346,0.00006115739,0.00005966443,0.0001037744,0.0001773497,0.0001854393,0.0004480048],"category_scores_gemma":[0.000008108104,0.0002713168,0.0000610638,0.0001459477,0.00002695477,0.0001168938,0.00009562359,0.0003909831,0.0002958629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002354876,"about_ca_system_score_gemma":0.00002877486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002411672,"about_ca_topic_score_gemma":0.000003569028,"domain_scores_codex":[0.9987672,0.00002244563,0.0003321891,0.0003260381,0.0001466221,0.0004055217],"domain_scores_gemma":[0.999439,0.00003171921,0.00005137461,0.0001772887,0.0000184084,0.0002822183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006168682,0.00001239532,0.00001738096,0.009249448,0.00004092306,0.00002596539,0.007252676,0.0645147,0.9124883,0.000003481506,0.00391321,0.00241987],"study_design_scores_gemma":[0.0007235667,0.0001382489,0.00004047459,0.0001834658,0.00004804932,0.00001727905,0.0001397262,0.009420832,0.9099659,0.00006464605,0.07871225,0.0005455653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8617188,0.02898273,0.002784814,0.0003715985,0.003829576,0.0005106167,0.00004088832,0.0008875833,0.1008734],"genre_scores_gemma":[0.988773,0.005459641,0.003695126,0.0001413999,0.0008250408,0.00000389209,0.00001048725,0.00008106176,0.001010293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270542,"threshold_uncertainty_score":0.9999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005854980289256261,"score_gpt":0.1700233072129501,"score_spread":0.1641683269236938,"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."}}