{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002171308,0.0000583038,0.0000843973,0.0000636574,0.00003889059,0.00001135123,0.0000335491,0.00008651426,0.0001104086],"category_scores_gemma":[0.000001028081,0.00005639798,0.00001108651,0.0001063483,0.00002720591,0.0001358706,0.000001985035,0.00006351938,0.00001329922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008407058,"about_ca_system_score_gemma":0.000003110296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001232379,"about_ca_topic_score_gemma":0.000001126252,"domain_scores_codex":[0.9996833,0.000003182804,0.0001321559,0.00006518007,0.00002979512,0.00008643294],"domain_scores_gemma":[0.9998638,0.000004473365,0.00002115194,0.00007350039,0.00001791754,0.00001917957],"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":[0.000001338052,0.000009740819,0.0001856926,0.0002321642,0.00002477048,7.104493e-8,0.0001594627,0.002341481,0.9947798,0.000001655152,0.00002111141,0.002242709],"study_design_scores_gemma":[0.0001978096,0.00003546923,0.001589837,0.00004589106,0.00002541319,0.000008381765,0.00006713623,0.03067288,0.9635257,0.000008147765,0.003692181,0.0001311259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958976,0.0001347871,0.002834378,0.00004290433,0.0001452326,0.0001213303,0.00001582325,0.0001408459,0.0006670948],"genre_scores_gemma":[0.998725,0.0008127747,0.000240138,0.00000198942,0.000006202069,0.00002618103,0.00001771193,0.00001213509,0.0001578952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03125408,"threshold_uncertainty_score":0.2299843,"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."}}