{"id":"W2317821931","doi":"10.1149/1.3701968","title":"Nanostructured Thin Film Electrocatalysts for PEM Fuel Cells - A Tutorial on the Fundamental Characteristics and Practical Properties of NSTF Catalysts","year":2012,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Dalhousie University; U.S. Department of Energy","keywords":"Electrocatalyst; Anode; Cathode; Proton exchange membrane fuel cell; Fuel cells; Materials science; Nanotechnology; Durability; Catalysis; Thin film; Computer science; Electrode; Chemical engineering; Composite material; Chemistry; Electrical engineering; Engineering; Electrochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073717,0.000277631,0.0003094408,0.0001130745,0.0003415938,0.00004539857,0.0001485043,0.0001813925,0.00007601631],"category_scores_gemma":[0.00009339968,0.0002007665,0.0001715454,0.0002116866,0.0001708115,0.0003795441,0.00001358045,0.0003195377,0.00002098982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564761,"about_ca_system_score_gemma":0.0001337899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002856857,"about_ca_topic_score_gemma":0.0001244812,"domain_scores_codex":[0.9983417,0.00009639254,0.0003746427,0.000288015,0.0003864647,0.0005127187],"domain_scores_gemma":[0.9989622,0.0002222518,0.0001785423,0.0003703551,0.0001226213,0.0001440323],"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":[0.0008321965,0.0003812874,0.00002240443,0.0001497073,0.0003778528,0.000002193369,0.002746781,0.00008178574,0.9876707,0.006023248,0.001158123,0.0005537402],"study_design_scores_gemma":[0.0007622956,0.0002806452,0.0001780184,0.00003762748,0.0002980493,0.00007407949,0.0003649949,0.0007310013,0.9761848,0.0001283512,0.02068639,0.0002736714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912005,0.0003157951,0.001945114,0.001590568,0.002764131,0.0008664375,0.00008743742,0.0001520848,0.00107794],"genre_scores_gemma":[0.998221,0.00003586364,0.0002901328,0.00008486275,0.000482945,0.0001108259,0.00007569878,0.00005127773,0.0006474081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01952827,"threshold_uncertainty_score":0.8187022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824866084226434,"score_gpt":0.2303832990632185,"score_spread":0.2121346382209541,"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."}}