{"id":"W4313339520","doi":"10.1021/acsnano.2c10707","title":"Mo<sub>2</sub>TiC<sub>2</sub> MXene-Supported Ru Clusters for Efficient Photothermal Reverse Water–Gas Shift","year":2022,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Postdoctoral Program for Innovative Talents; Collaborative Innovation Center of Suzhou Nano Science and Technology; Soochow University; Higher Education Discipline Innovation Project; Natural Science Foundation of Jiangsu Province; China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China; Suzhou Key Laboratory of Functional Nano and Soft Materials; National Natural Science Foundation of China; U.S. Department of Energy; Austrian Science Fund","keywords":"Catalysis; Water-gas shift reaction; Carbon monoxide; Photothermal therapy; Materials science; Methane; Carbon dioxide; Carbon fibers; Desorption; Nanoparticle; Chemical engineering; Photochemistry; Nanotechnology; Chemistry; Adsorption; Physical chemistry; Organic chemistry","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":[0.00007036644,0.0002879293,0.0001394717,0.0001316008,0.0001538582,0.0002202942,0.0002822094,0.0002944831,0.003367008],"category_scores_gemma":[0.0001249882,0.000112811,0.0001429144,0.0001442197,0.000112149,0.0002820717,0.000240121,0.0003696649,0.0008634429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305913,"about_ca_system_score_gemma":0.00008240753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004710464,"about_ca_topic_score_gemma":0.001819432,"domain_scores_codex":[0.9999347,0.00000607834,0.000003398829,0.00001742408,0.00002165025,0.00001665455],"domain_scores_gemma":[0.9999739,0.000004550943,0.000006127749,0.000006725101,0.000004240222,0.000004459253],"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":[0.00007819281,0.00002216448,0.0001359656,0.000239116,0.00002557737,0.0001066203,0.00005232658,0.000348259,0.9867584,0.00190526,0.001217447,0.009110734],"study_design_scores_gemma":[0.000004509143,0.00005922612,0.0006135901,0.000006976636,0.00001023739,0.00009849509,0.00002065883,0.001746873,0.9894079,0.00009121425,0.007934375,0.000005912281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575397,0.004432606,0.01648971,0.0004156792,0.0002628859,0.00009982982,0.0007183262,0.0006109775,0.0194303],"genre_scores_gemma":[0.9886271,0.0006734312,0.004534785,0.00004244824,0.000013907,0.00003025886,0.0002492001,0.00004811057,0.00578075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003367008,"threshold_uncertainty_score":0.01126379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00989924752978941,"score_gpt":0.2346285707973485,"score_spread":0.2247293232675591,"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."}}