{"id":"W1975066296","doi":"10.1149/05801.0797ecst","title":"Characterization and Performance of Catalyst Layers Prepared by Inkjet Printing Technology","year":2013,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Automotive Fuel Cell Cooperation (Canada)","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Lawrence Berkeley National Laboratory; Canadian Light Source; U.S. Department of Energy","keywords":"Ionomer; Materials science; Nafion; Coating; Chemical engineering; Characterization (materials science); Catalysis; Membrane; Cathode; Bar (unit); Composite material; Fuel cells; Inkjet printing; Nanotechnology; Inkwell; Electrode; Polymer; Chemistry; Organic chemistry; Electrochemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003294999,0.0003261801,0.0003217913,0.0007090786,0.0002174061,0.0006729734,0.0004338887,0.00065302,0.0008545545],"category_scores_gemma":[0.0009132352,0.0002482881,0.0002728655,0.0005967157,0.0002253901,0.0003541152,0.0001732414,0.0004921101,0.0003544202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653358,"about_ca_system_score_gemma":0.0001784274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007168227,"about_ca_topic_score_gemma":0.0006718826,"domain_scores_codex":[0.9996473,0.00001813942,0.0000476302,0.00005804868,0.00017642,0.00005247302],"domain_scores_gemma":[0.9995628,0.0001330273,0.0000721274,0.00006494745,0.0001380267,0.00002913076],"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":[0.00004469163,0.000007489634,0.0002505194,0.00003345264,0.00000399039,0.00005708052,0.00002392011,0.0001323667,0.9977671,0.00002870912,0.00001218868,0.001638346],"study_design_scores_gemma":[0.0000015607,0.00003222084,0.0008222456,0.000001700861,0.000004690459,0.00003485139,0.000006843399,0.0003911132,0.9985061,0.000005449466,0.0001914015,0.000001981396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990774,0.0009942945,0.00631216,0.00003067252,0.00002323793,0.00002864487,0.0003932409,0.0001395087,0.001304204],"genre_scores_gemma":[0.9915815,0.0006892095,0.005927186,0.0000192639,0.00000632269,0.00002889995,0.0003993377,0.00005806303,0.001290369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008545545,"threshold_uncertainty_score":0.002858758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002812803478690068,"score_gpt":0.1592896080701437,"score_spread":0.1564768045914536,"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."}}