{"id":"W4403531303","doi":"10.1016/j.envres.2024.120191","title":"Interface engineering of Platinum–Copper alloy/titanium dioxide for enhanced photocatalytic carbon dioxide reduction","year":2024,"lang":"en","type":"article","venue":"Environmental Research","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Carbon dioxide; Titanium dioxide; Photocatalysis; Copper; Platinum; Alloy; Materials science; Reduction (mathematics); Electrochemical reduction of carbon dioxide; Inorganic chemistry; Chemical engineering; Chemistry; Metallurgy; Carbon monoxide; Catalysis; Biochemistry; Organic chemistry; Engineering","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":[0.00007378613,0.0002745507,0.0002000539,0.0002229678,0.0002091589,0.0004143131,0.0004276777,0.0003133561,0.001412277],"category_scores_gemma":[0.0001990109,0.0001845456,0.00022175,0.0002266566,0.0001081272,0.0002542453,0.0002428273,0.0002499288,0.0003692482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968127,"about_ca_system_score_gemma":0.00018107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238176,"about_ca_topic_score_gemma":0.002647151,"domain_scores_codex":[0.9998478,0.000009265947,0.00001006077,0.00003079819,0.00005901875,0.00004308106],"domain_scores_gemma":[0.9999523,0.000006995375,0.00001039706,0.000004560568,0.00001802801,0.00000781159],"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":[0.00007078212,0.00002261168,0.00009297873,0.0000682712,0.000008189782,0.0000854694,0.00002060266,0.0002955903,0.9957646,0.0002815855,0.0001465762,0.003142766],"study_design_scores_gemma":[0.000008344582,0.00007877488,0.0003669752,0.000001953697,0.00001072923,0.00005721285,0.00002137334,0.004445426,0.9933988,0.00003444355,0.001571093,0.00000496677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851981,0.0007270403,0.007524663,0.00007008854,0.0001069449,0.00003243232,0.00008542194,0.0001710487,0.006084195],"genre_scores_gemma":[0.9950477,0.0001578779,0.002653092,0.00001636627,0.000009444323,0.00001220192,0.00006622607,0.00002602841,0.002011064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001412277,"threshold_uncertainty_score":0.004724503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184016707412796,"score_gpt":0.3196982087665621,"score_spread":0.2978580416924342,"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."}}