{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003962275,0.0004389895,0.0006133952,0.0001328264,0.0002235756,0.0002090596,0.0002017623,0.0001614176,0.0001327496],"category_scores_gemma":[0.00004521833,0.00038308,0.00003223613,0.0001469966,0.0001228799,0.0003797584,0.00008299884,0.00007759086,0.00007372021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007794909,"about_ca_system_score_gemma":0.00002954502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007019663,"about_ca_topic_score_gemma":0.0002383399,"domain_scores_codex":[0.9979205,0.00008003035,0.0006467082,0.0007147396,0.0002343517,0.0004036998],"domain_scores_gemma":[0.9989472,0.00010069,0.0003252318,0.0004053607,0.0001372845,0.00008425771],"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":[0.001648863,0.00006577246,0.000003104427,0.00005724943,0.0001317097,3.268274e-7,0.0003087856,0.0001473628,0.99049,0.004849626,0.00005687401,0.002240304],"study_design_scores_gemma":[0.001783973,0.000464385,0.00001465093,0.0000403139,0.0001349078,0.000006394419,0.00004365739,0.0001056674,0.9945427,0.002092468,0.0003049047,0.0004660454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911897,0.00004277863,0.006103436,0.00003079703,0.0001643458,0.001828598,0.00005807309,0.0003149359,0.0002673299],"genre_scores_gemma":[0.9952723,0.00003401519,0.0007953143,0.0001692467,0.0002334529,0.002845839,0.0005031531,0.00009241985,0.0000542413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005308121,"threshold_uncertainty_score":0.9998621,"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."}}