{"id":"W4311178021","doi":"10.1039/d2gc04107c","title":"Photocatalytic syngas production from bio-derived glycerol and water on AuIn-decorated GaN nanowires supported by Si wafer","year":2022,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University","funders":"Shanghai Jiao Tong University; Natural Science Foundation of Beijing Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Beijing Outstanding Young Talents","keywords":"Syngas; Photocatalysis; Nanowire; Glycerol; Wafer; Renewable energy; Materials science; Chemical engineering; Nanotechnology; Chemistry; Catalysis; Organic chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004899506,0.0003259811,0.000328227,0.00003853822,0.0005050489,0.000183448,0.0006997616,0.00008294119,0.005974769],"category_scores_gemma":[0.0001158106,0.0002793478,0.00004219139,0.0002220974,0.0003786605,0.0002700039,0.000485764,0.0002064817,0.0002141116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953953,"about_ca_system_score_gemma":0.000118297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005715849,"about_ca_topic_score_gemma":0.000008353468,"domain_scores_codex":[0.9972006,0.00005577189,0.0004266106,0.001119083,0.0006382764,0.0005596703],"domain_scores_gemma":[0.9987823,0.00004959619,0.0001795478,0.000734494,0.00008469868,0.0001693483],"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":[0.0002100823,0.0001047113,0.00007197059,0.00009095065,0.00001148645,0.0000299067,0.0003804219,0.00002873843,0.9964256,5.00091e-7,0.00253502,0.0001106487],"study_design_scores_gemma":[0.0004534877,0.00005900142,0.000060335,0.00002526485,0.00003400209,0.00008543867,0.0002490248,0.0001563925,0.9969306,0.0002784203,0.001284844,0.0003831753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972108,0.00006230269,0.0000158053,0.0007376538,0.0006397184,0.0003328646,0.0004831849,0.0002209594,0.0002966929],"genre_scores_gemma":[0.9967278,0.000007454299,0.00006833448,0.0002201931,0.0001629493,0.0001658013,0.0006549228,0.00004119282,0.001951368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005760658,"threshold_uncertainty_score":0.9999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00927636453777586,"score_gpt":0.2160600805912777,"score_spread":0.2067837160535019,"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."}}