{"id":"W4402290479","doi":"10.1016/j.cej.2024.155556","title":"Vapor-phase quenching synthesis of atomically dispersed PtMn alloy clusters for anti-CO hydrogen oxidation electrocatalysis","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Shandong Province; Taishan Scholar Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Electrocatalyst; Alloy; Quenching (fluorescence); Materials science; Phase (matter); Chemical engineering; Vapor phase; Chemistry; Photochemistry; Metallurgy; Electrochemistry; Electrode; Physical chemistry; Organic chemistry; Thermodynamics; Fluorescence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000446228,0.0002824673,0.0004232612,0.0003557396,0.00007062986,0.00008502267,0.0003487882,0.0001873293,0.00005632061],"category_scores_gemma":[0.0005008822,0.0002700549,0.0004589877,0.0003936642,0.0000357442,0.0003230386,0.00003476712,0.0004131827,0.00001144653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636372,"about_ca_system_score_gemma":0.0001169508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002369233,"about_ca_topic_score_gemma":0.000001097425,"domain_scores_codex":[0.9981564,0.00002057267,0.0005861449,0.0003398237,0.0003989433,0.0004981479],"domain_scores_gemma":[0.9989765,0.0003409618,0.0001259866,0.0002345196,0.0001073831,0.0002146281],"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":[0.00006899812,0.00005473595,0.000004272032,0.0001677436,0.0004467149,0.00002361487,0.00008306931,0.01985353,0.9733578,0.0008526064,0.000227004,0.004859934],"study_design_scores_gemma":[0.00049215,0.00004460891,0.000001494,0.0001725435,0.0002195099,0.0001633404,0.00001113764,0.194487,0.8021181,0.00008282816,0.001971454,0.0002358386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361802,0.0004217813,0.06258687,0.000197257,0.0001916239,0.00009319879,0.000004685911,0.0002056071,0.0001187291],"genre_scores_gemma":[0.9948018,0.00005589718,0.004550212,0.00002325013,0.0003277021,0.0000300842,0.00008634198,0.00009100507,0.00003371721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1746335,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005564532511108477,"score_gpt":0.2324377083529705,"score_spread":0.226873175841862,"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."}}