{"id":"W4291011354","doi":"10.20964/2022.09.28","title":"Preparation and Properties of MOF-derived Porous Carbon Nanosheets as Electrocatalyst for Oxygen Reduction Reaction","year":2022,"lang":"en","type":"article","venue":"International Journal of Electrochemical Science","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"Electrocatalyst; Oxygen reduction reaction; Porosity; Carbon fibers; Reduction (mathematics); Materials science; Chemical engineering; Oxygen; Oxygen reduction; Chemistry; Electrochemistry; Electrode; Organic chemistry; Physical chemistry; Composite material; Composite number; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007039266,0.000121896,0.0001870855,0.00035629,0.0001711686,0.00003538647,0.0005672078,0.00004293336,0.00001003858],"category_scores_gemma":[0.0004137481,0.0001135512,0.00008303042,0.0004133216,0.0001802309,0.0004795766,0.0001096599,0.0002150808,3.746674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009165466,"about_ca_system_score_gemma":0.0004622418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002582497,"about_ca_topic_score_gemma":0.00001440439,"domain_scores_codex":[0.9977314,0.00004048738,0.0004715369,0.000267431,0.001231159,0.0002580175],"domain_scores_gemma":[0.9980785,0.00003265795,0.000577924,0.0001166242,0.001111898,0.00008239139],"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":[0.001366782,0.00009096489,0.00001314538,0.000006231073,0.00006727211,0.000002093747,0.0002917143,0.0001709081,0.9944274,0.001937988,0.00002360364,0.001601849],"study_design_scores_gemma":[0.0005676972,0.0008788698,0.00003932343,0.0000181654,0.00003469417,0.000954302,0.0001361326,0.001182559,0.9930394,0.002436268,0.000598327,0.0001142336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978615,0.0003293471,0.0001517561,0.0005696903,0.0003707851,0.0001192835,5.199472e-7,0.00001716739,0.0005799734],"genre_scores_gemma":[0.9993086,0.00005117118,0.00028455,0.00004493551,0.0001798199,0.00002275138,0.00001161416,0.00001284359,0.00008364191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001487615,"threshold_uncertainty_score":0.4630483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008960065024743266,"score_gpt":0.2527821913451834,"score_spread":0.2438221263204401,"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."}}