{"id":"W2988607039","doi":"10.1038/s41560-019-0490-3","title":"Facet-dependent active sites of a single Cu2O particle photocatalyst for CO2 reduction to methanol","year":2019,"lang":"en","type":"article","venue":"Nature Energy","topic":"Copper-based nanomaterials and applications","field":"Materials Science","cited_by":544,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Argonne National Laboratory; Laboratory Directed Research and Development; Basic Energy Sciences; Office of Science; U.S. Department of Energy","keywords":"Photocatalysis; Materials science; Methanol; Adsorption; Quantum yield; Chemical engineering; Scanning electron microscope; Photochemistry; Nanotechnology; Catalysis; Chemistry; Fluorescence; Optics; Physical chemistry; Composite material","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":[0.0001015657,0.0001812891,0.0002308723,0.000176032,0.0002251406,0.0005086988,0.0005124303,0.0003024011,0.0008473833],"category_scores_gemma":[0.0002287681,0.0001945154,0.0001757657,0.0001451514,0.0002330881,0.0002397115,0.0001663166,0.0003005,0.0002400015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464369,"about_ca_system_score_gemma":0.0002538387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733758,"about_ca_topic_score_gemma":0.003950783,"domain_scores_codex":[0.9998881,0.000007050359,0.000006876117,0.00002732595,0.00004139615,0.00002927216],"domain_scores_gemma":[0.9999073,0.00001960222,0.00001753482,0.00001553306,0.00002358223,0.00001644448],"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":[0.0002088559,0.00002312163,0.0002768855,0.00005945977,0.000009305082,0.00006209232,0.00003320743,0.000215954,0.9962037,0.0001552537,0.0002109747,0.002541149],"study_design_scores_gemma":[0.00001209419,0.00006892027,0.001224311,0.000001844984,0.00001151863,0.00004539583,0.00002887616,0.003414973,0.9945574,0.00003056884,0.000598772,0.0000054131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952648,0.0003686293,0.002021831,0.0000617134,0.00002802372,0.000009958811,0.0001073675,0.0001082872,0.002029425],"genre_scores_gemma":[0.9987526,0.00005170762,0.0005813891,0.000007603946,0.000004402061,0.000003438236,0.00006556002,0.0000175131,0.000515732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002733758,"threshold_uncertainty_score":0.005435705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245900369133219,"score_gpt":0.2659890449701665,"score_spread":0.2535300412788343,"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."}}