{"id":"W2131023284","doi":"10.1149/1.3210761","title":"Preparation of Ultra-Thin Catalyst Layers by Piezo-electric Printer for PEMFCs Applications","year":2009,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Ontario Ministry of Research, Innovation and Science","keywords":"Proton exchange membrane fuel cell; Catalysis; Anode; Piezoelectricity; Materials science; Deposition (geology); Current density; Chemical engineering; Thin film; Membrane; Voltage; Composite material; Nanotechnology; Optoelectronics; Electrode; Chemistry; Electrical engineering; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001707471,0.0003179386,0.0003085989,0.0003171611,0.0001757159,0.0003213455,0.0004675364,0.0004529587,0.001137486],"category_scores_gemma":[0.0003545923,0.0002717113,0.0002824167,0.0002725613,0.0001452077,0.0003408749,0.0002409956,0.0006046008,0.0006527975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731534,"about_ca_system_score_gemma":0.0002223466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002067532,"about_ca_topic_score_gemma":0.0006378979,"domain_scores_codex":[0.9998862,0.000005820845,0.00001156367,0.00001914608,0.00006563756,0.00001157088],"domain_scores_gemma":[0.9998703,0.00003438476,0.00002645025,0.00002484858,0.00003021508,0.00001383751],"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":[0.000005961553,0.000004722773,0.00004315953,0.0000497038,0.00000254453,0.0000568899,0.000007229844,0.0001139771,0.9956327,0.0001091352,0.00005572048,0.003918359],"study_design_scores_gemma":[0.00000458307,0.00001901959,0.000447003,0.000003495585,0.000006348464,0.0001287274,0.000005112998,0.0008536699,0.9963321,0.00004547068,0.002150207,0.000004298691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7237583,0.00629983,0.2556248,0.0005763137,0.0004676077,0.0003140464,0.001121685,0.001667114,0.01017034],"genre_scores_gemma":[0.7503669,0.00355892,0.2385029,0.0001554366,0.00007186155,0.0002578116,0.0006551513,0.0001741902,0.006256791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001137486,"threshold_uncertainty_score":0.00380528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005130142111522397,"score_gpt":0.2293546594808322,"score_spread":0.2242245173693098,"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."}}