{"id":"W4378802886","doi":"10.1021/acsami.3c01219","title":"In Operando Photoswitching of Cu Oxidation States in Cu-Based Plasmonic Heterogeneous Photocatalysis for Efficient H<sub>2</sub> Evolution","year":2023,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Research Chairs; Canada Foundation for Innovation; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Photocatalysis; Ostwald ripening; Materials science; Plasmon; Surface plasmon resonance; Nanoparticle; Visible spectrum; Nanotechnology; Copper; Plasmonic nanoparticles; Chemical engineering; Photochemistry; Catalysis; Optoelectronics; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008952435,0.0002381084,0.0001775046,0.00007532861,0.0001426514,0.0002870478,0.0003379237,0.0003191345,0.0009721284],"category_scores_gemma":[0.0001247264,0.0001816784,0.0001479952,0.00009834677,0.0002935483,0.0003293511,0.0002293039,0.000292567,0.0002024981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002839272,"about_ca_system_score_gemma":0.0001026184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005584701,"about_ca_topic_score_gemma":0.0009493568,"domain_scores_codex":[0.9999245,0.000007351176,0.00000396201,0.00001976885,0.00002289973,0.00002149782],"domain_scores_gemma":[0.9999532,0.00001249191,0.00001338437,0.000007859578,0.000007412139,0.000005706236],"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":[0.00009216349,0.00003893652,0.0001284846,0.00005645318,0.000006599205,0.00007454763,0.00004612485,0.0009379908,0.9945939,0.0002319185,0.0001256334,0.00366724],"study_design_scores_gemma":[0.000008779923,0.00007470576,0.0005692666,0.000001850915,0.000005625048,0.00003389538,0.00002224527,0.009835683,0.9886538,0.00007321869,0.0007154192,0.000005503486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912843,0.0004806095,0.005981202,0.00006759924,0.00003871801,0.00001722217,0.00005267442,0.0002206516,0.001857072],"genre_scores_gemma":[0.9964007,0.0001478416,0.002456251,0.00002116516,0.000003950122,0.000008893813,0.00001968747,0.00001249773,0.0009290011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009721284,"threshold_uncertainty_score":0.003252089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066843450749472,"score_gpt":0.2611629962435507,"score_spread":0.250494561736056,"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."}}