{"id":"W4404623942","doi":"10.1038/s41467-024-54318-7","title":"Parameterization and quantification of two key operando physio-chemical descriptors for water-assisted electro-catalytic organic oxidation","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Beijing National Laboratory for Molecular Sciences; Basic Energy Sciences; Office of Science; Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; U.S. Department of Energy","keywords":"Catalysis; Adsorption; Chemistry; Catalytic oxidation; Oxygen evolution; Chemical engineering; Inorganic chemistry; Electrochemistry; Physical chemistry; Organic chemistry; Electrode","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":[0.0002047278,0.0004424555,0.0002955156,0.0003430649,0.0001206597,0.0003730505,0.0003578056,0.0003740443,0.0007557963],"category_scores_gemma":[0.0004577357,0.000128059,0.0001346681,0.0002646587,0.0003390624,0.000285614,0.0002680196,0.0004849325,0.0001332341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866807,"about_ca_system_score_gemma":0.0001324892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00034883,"about_ca_topic_score_gemma":0.0007030355,"domain_scores_codex":[0.9998621,0.00001468506,0.00001024796,0.0000391475,0.00005981618,0.00001395167],"domain_scores_gemma":[0.999797,0.00007254397,0.00005649342,0.00002536978,0.00003745707,0.00001115632],"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":[0.00006392525,0.0000307319,0.001157864,0.00006472994,0.00001117504,0.00003079512,0.00003161525,0.0002646996,0.993425,0.00009702308,0.00003696726,0.004785509],"study_design_scores_gemma":[0.000003964417,0.00008172343,0.008883305,0.000004672196,0.00001206031,0.00006664158,0.0000695762,0.004452942,0.9858764,0.0001301528,0.0004099791,0.000008548936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826239,0.0005896709,0.01503809,0.0001004519,0.00002211872,0.00004449629,0.0004293262,0.0002166396,0.0009352386],"genre_scores_gemma":[0.99432,0.0002479389,0.004891353,0.00002768641,0.000007167211,0.00004920391,0.0001855695,0.00001825724,0.0002528694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007557963,"threshold_uncertainty_score":0.002528369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857055065542699,"score_gpt":0.2797679878299999,"score_spread":0.2611974371745729,"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."}}