{"id":"W4309813892","doi":"10.1149/ma2022-02401481mtgabs","title":"Effects of Wet Film Application Parameters on the Structure and Performance of Fuel Cell Catalyst Layers Prepared Using Scalable Methods","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Coating; Materials science; Catalysis; Layer (electronics); Membrane electrode assembly; Chemical engineering; Catalyst support; Throughput; Electrolyte; Composite material; Electrode; Computer science; Chemistry; Engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003115415,0.0005806537,0.0003332206,0.000322305,0.0002398565,0.0005779375,0.0003649256,0.0004777956,0.002312297],"category_scores_gemma":[0.001026515,0.0003515916,0.0002534974,0.0004830311,0.0001936479,0.0006479788,0.0003045555,0.0008222496,0.0006994335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000337772,"about_ca_system_score_gemma":0.0001612506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000750027,"about_ca_topic_score_gemma":0.001764058,"domain_scores_codex":[0.9996719,0.0000234401,0.00003715239,0.00008465208,0.0001211906,0.00006159092],"domain_scores_gemma":[0.9994281,0.0001807879,0.0001704373,0.00005469221,0.0001289651,0.00003695856],"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":[0.0001585082,0.00006226357,0.0001787642,0.0001207856,0.00001458423,0.00007356248,0.0000569178,0.000327411,0.9964781,0.00003579686,0.0001324085,0.002360852],"study_design_scores_gemma":[0.000005698475,0.0002437286,0.0014331,0.00001010718,0.00001461436,0.00002392868,0.00003069194,0.0006860899,0.9968463,0.000009450356,0.0006890932,0.000007196558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918278,0.003380557,0.00147765,0.0000679773,0.0001006498,0.00004240981,0.0006568995,0.0001441931,0.002301963],"genre_scores_gemma":[0.9938323,0.002302824,0.001856479,0.00005908151,0.00002826641,0.00005703034,0.0003388261,0.0001135124,0.001411484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002312297,"threshold_uncertainty_score":0.007735431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007330728841052057,"score_gpt":0.2191521518667339,"score_spread":0.2118214230256818,"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."}}