{"id":"W3027948685","doi":"10.1039/d0en00048e","title":"Enhanced photocatalytic selectivity of noble metallized TiO<sub>2</sub> nanoparticles for the reduction of selenate in water: tunable Se reduction product H<sub>2</sub>Se<sub>(g)</sub><i>vs.</i> Se<sub>(s)</sub>","year":2020,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selenate; Photocatalysis; Selectivity; Reduction (mathematics); Materials science; Nanoparticle; Inorganic chemistry; Noble metal; Chemical engineering; Chemistry; Selenium; Nanotechnology; Catalysis; Metallurgy; Organic chemistry","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"],"consensus_categories":[],"category_scores_codex":[0.002200271,0.0009180479,0.001197879,0.0004700062,0.0007881718,0.0001134128,0.001227265,0.0002851519,0.0000258875],"category_scores_gemma":[0.0002744782,0.0007832985,0.0004576988,0.002688011,0.002218117,0.002354684,0.0006099572,0.0006013216,0.0001073153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206598,"about_ca_system_score_gemma":0.0002467673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002357058,"about_ca_topic_score_gemma":0.0001572925,"domain_scores_codex":[0.9924346,0.0003558401,0.001623723,0.002334281,0.001616496,0.001635059],"domain_scores_gemma":[0.9968853,0.000165985,0.0009906534,0.001420861,0.0001419103,0.0003953174],"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":[0.000866962,0.0007812111,0.00003943488,0.0001554209,0.0001116405,0.00000396068,0.00231706,0.01117947,0.9701267,0.00003778692,0.00008127158,0.01429903],"study_design_scores_gemma":[0.001490344,0.0006824223,0.0003122804,0.0001077515,0.0002486513,0.00004992266,0.0005709291,0.002300789,0.9922783,0.0008721416,0.0002002415,0.0008862685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993735,0.0002345868,0.001035522,0.0003256383,0.000343855,0.003879431,0.00006680148,0.000300482,0.0000786707],"genre_scores_gemma":[0.9963034,0.0009258185,0.0007379109,0.00008783813,0.0001822547,0.001439319,0.0001410986,0.0001560811,0.00002632852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0221515,"threshold_uncertainty_score":0.9994618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137785260644338,"score_gpt":0.2378895476817972,"score_spread":0.2241110216173634,"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."}}