{"id":"W4387054412","doi":"10.3390/catal13101322","title":"Development of Non-Spherical Platinum Nanoparticles on Carbon Supports for Oxygen Reduction Reaction","year":2023,"lang":"en","type":"article","venue":"Catalysts","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ballard Power Systems","keywords":"Catalysis; Platinum; Carbon fibers; Nanoparticle; Proton exchange membrane fuel cell; Materials science; Oxygen reduction reaction; Carbon black; Chemical engineering; Platinum nanoparticles; Nitrogen; Oxygen reduction; Chemistry; Nanotechnology; Organic chemistry; Electrochemistry; Composite material; Electrode; Physical chemistry; 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":[0.0003279781,0.0001755154,0.0002359072,0.0001688218,0.0001119878,0.000008646415,0.0001328109,0.0001249722,0.00001011826],"category_scores_gemma":[0.00007419528,0.0001749791,0.00009125709,0.0005600888,0.00003564537,0.0001024135,0.00004459893,0.00008060817,0.00008411571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000282839,"about_ca_system_score_gemma":0.0001341464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796247,"about_ca_topic_score_gemma":0.0001398856,"domain_scores_codex":[0.998468,0.00002006425,0.0004104163,0.0003693508,0.0003714698,0.0003607301],"domain_scores_gemma":[0.9992285,0.00005112397,0.00017873,0.0003348969,0.0001168029,0.00008997668],"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":[0.0001690924,0.0000555346,0.00002852224,0.00004406455,0.0000635882,0.00000426762,0.0007342452,0.0004289244,0.9678851,0.0003233251,0.001019961,0.02924337],"study_design_scores_gemma":[0.0004919769,0.0001259722,0.001494894,0.00003681098,0.00003365566,0.000008336241,0.0002305701,0.0008797545,0.9868898,0.0001488364,0.009470391,0.0001890264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963112,0.00000964361,0.00004809614,0.00008924763,0.0004354606,0.0002017184,0.000001379238,0.0001986069,0.002704685],"genre_scores_gemma":[0.996918,0.000004431663,0.001279091,0.00001209001,0.0001242737,0.0001074243,0.0004827226,0.00004569441,0.001026336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02905434,"threshold_uncertainty_score":0.713544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580706613543318,"score_gpt":0.2472600512907438,"score_spread":0.2314529851553106,"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."}}