{"id":"W4386894434","doi":"10.3390/catal13091307","title":"Sterical Self-Consistency of Carbonaceous Nanopolyhedra Triggered by Introduced CNTs to Optimize ORR Performance","year":2023,"lang":"en","type":"article","venue":"Catalysts","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Materials science; Catalysis; Electrocatalyst; Carbon nanotube; Chemical engineering; Electrolyte; Proton exchange membrane fuel cell; Nanotechnology; Methanol; Cathode; Porosity; Electrochemistry; Electrode; Chemistry; Composite material; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000100315,0.0002636694,0.0001380658,0.0001285136,0.00009276469,0.0001912124,0.000204284,0.0002246219,0.0004925444],"category_scores_gemma":[0.0002041155,0.0001061029,0.0001524937,0.00009929579,0.0001536131,0.0001904371,0.0001320751,0.000211945,0.0001521831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002591578,"about_ca_system_score_gemma":0.0001236931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005638269,"about_ca_topic_score_gemma":0.001543093,"domain_scores_codex":[0.9998869,0.00000864864,0.000008680312,0.00003455054,0.00003427575,0.00002686917],"domain_scores_gemma":[0.9999144,0.000016688,0.00002673936,0.00001044678,0.00001818461,0.00001355996],"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":[0.00002531132,0.000006883215,0.0000936281,0.00002574022,0.000002780277,0.0000293446,0.000009616288,0.0001762109,0.9984728,0.00008998684,0.00002692653,0.001040735],"study_design_scores_gemma":[0.000002748614,0.00003216786,0.0005025824,0.000001832512,0.000004445153,0.00002880815,0.000005203978,0.00196632,0.99699,0.00001142885,0.0004508915,0.000003640231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940534,0.0004661467,0.00374749,0.00004748057,0.0000175078,0.00001902863,0.0001136969,0.0001225568,0.001412643],"genre_scores_gemma":[0.9960307,0.000174482,0.002994619,0.00001655864,0.000004159165,0.00001342156,0.0000723647,0.0000215611,0.0006720395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005638269,"threshold_uncertainty_score":0.001880348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007649903172160764,"score_gpt":0.2162875604903501,"score_spread":0.2086376573181894,"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."}}