{"id":"W2313679529","doi":"10.1021/am503244w","title":"TiO<sub>2</sub> Nanoparticles-Functionalized N-Doped Graphene with Superior Interfacial Contact and Enhanced Charge Separation for Photocatalytic Hydrogen Generation","year":2014,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Jiangsu University; National Natural Science Foundation of China","keywords":"Materials science; Photocatalysis; Graphene; Nanoparticle; Doping; Chemical engineering; Nanotechnology; Hydrogen; Water splitting; Hydrogen production; Catalysis; Optoelectronics; 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":[0.00005875218,0.0005291094,0.0002264605,0.0002417384,0.0001262586,0.0002687351,0.0003208236,0.0004275677,0.0007622456],"category_scores_gemma":[0.000119084,0.0001473001,0.0002240538,0.0002360125,0.0001351734,0.0003285805,0.0001953911,0.0002044414,0.0002710884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065647,"about_ca_system_score_gemma":0.00009788906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005555083,"about_ca_topic_score_gemma":0.001941084,"domain_scores_codex":[0.9999061,0.000008686085,0.000006131314,0.00002072208,0.00003637903,0.00002210982],"domain_scores_gemma":[0.9999459,0.000008749251,0.00001943049,0.000005331779,0.00000966838,0.0000109935],"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":[0.00002176731,0.000008048041,0.00005763808,0.00003535031,0.000004647045,0.00004467577,0.000005242712,0.00008782984,0.9985312,0.00004798617,0.00004110151,0.001114415],"study_design_scores_gemma":[0.00000614492,0.00007185686,0.001342206,0.000002738044,0.00001684515,0.0002165215,0.00001445108,0.002105942,0.9947201,0.00004298145,0.001451443,0.000008767908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826417,0.002357636,0.008943735,0.000101106,0.00008851693,0.00003835169,0.000365246,0.0003006069,0.005163031],"genre_scores_gemma":[0.9898397,0.0005462025,0.007333834,0.0000560303,0.00001333458,0.00001825123,0.0001889389,0.00002590497,0.001977918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007622456,"threshold_uncertainty_score":0.002550006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241417202137032,"score_gpt":0.2521240456962739,"score_spread":0.2397098736749036,"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."}}