{"id":"W4391257804","doi":"10.1016/j.jcat.2024.115331","title":"Electrocatalytic hydrogenation of phenol on platinum-cobalt alloys","year":2024,"lang":"en","type":"article","venue":"Journal of Catalysis","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Argonne National Laboratory; National Energy Research Scientific Computing Center; U.S. Department of Energy; College of Engineering, Michigan State University; Office of Science; Canadian Light Source; National Science Foundation","keywords":"Catalysis; Cobalt; Endothermic process; Platinum; Phenol; Activation energy; Density functional theory; Chemistry; Hydrogen; Physical chemistry; Adsorption; Electrochemistry; Kinetics; Enthalpy; Inorganic chemistry; Computational chemistry; Thermodynamics; Organic chemistry; Electrode","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":[0.0006441745,0.0002259809,0.0004808963,0.0009314068,0.00005448234,0.00004570814,0.0003351291,0.0001292662,0.0001562658],"category_scores_gemma":[0.0002059558,0.00018784,0.0005335653,0.001124915,0.00004993677,0.0004408084,0.00003613663,0.0003590151,0.000127346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004549313,"about_ca_system_score_gemma":0.0002550752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333432,"about_ca_topic_score_gemma":0.00009093854,"domain_scores_codex":[0.9975033,0.00006043154,0.0008443897,0.0002400799,0.001053719,0.0002980338],"domain_scores_gemma":[0.9984765,0.0002009718,0.0004854672,0.0003487071,0.0003667751,0.0001215673],"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":[0.0005294391,0.0003947855,0.0001148863,0.0002670206,0.003507077,0.0004026168,0.001068054,0.01953255,0.8615003,0.03877419,0.004673779,0.06923531],"study_design_scores_gemma":[0.0005945765,0.0006806577,0.00006719008,0.000220091,0.0007783712,0.0002953711,0.00007274422,0.004817948,0.9716792,0.002814664,0.01772905,0.000250131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825236,0.00239863,0.001047508,0.0006106985,0.0004768473,0.00007559994,0.000002587878,0.00007930138,0.01278525],"genre_scores_gemma":[0.9984286,0.0001458051,0.0001642064,0.00006963371,0.0002937458,0.000002417904,0.00004864345,0.00004784501,0.0007991162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1101789,"threshold_uncertainty_score":0.7659895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007487856161855868,"score_gpt":0.2318947235322776,"score_spread":0.2244068673704217,"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."}}