{"id":"W2800510586","doi":"10.1007/s11356-018-1886-5","title":"Enhanced TiO2 nanorods photocatalysts with partially reduced graphene oxide for degrading aqueous hazardous pollutants","year":2018,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Trillium Foundation; University of Windsor","keywords":"Photocatalysis; Graphene; Rhodamine B; Methyl orange; Oxide; Aqueous solution; Methylene blue; Materials science; Nanorod; Chemical engineering; Chemistry; Inorganic chemistry; Nanotechnology; Catalysis; 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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001784264,0.0002257681,0.0002240617,0.000429655,0.001566157,0.0001241972,0.00051365,0.00009498165,0.0001214387],"category_scores_gemma":[0.0001511467,0.000189545,0.00005068981,0.001218192,0.004094163,0.0005803258,0.0002171205,0.0002037469,0.0000608969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005163077,"about_ca_system_score_gemma":0.0001715584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004147393,"about_ca_topic_score_gemma":0.0005176559,"domain_scores_codex":[0.996455,0.0001033656,0.0002844895,0.000860834,0.001284772,0.001011584],"domain_scores_gemma":[0.9988801,0.0000671235,0.00009813237,0.0005319717,0.00008796294,0.000334676],"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":[0.0002572027,0.00006934698,0.00006473061,0.000005562039,0.00001476421,0.000003653696,0.0003092698,0.00002589997,0.9572523,0.00085975,0.00006320097,0.04107427],"study_design_scores_gemma":[0.0004822114,0.0007109598,0.003262767,0.00003348259,0.00001247854,0.00002636524,0.0003577144,0.0006187497,0.9879605,0.001351889,0.00491908,0.0002637614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912505,0.000105519,0.003922965,0.000166228,0.00005614353,0.001110606,0.00004238588,0.0001073771,0.003238276],"genre_scores_gemma":[0.9943984,0.00009586975,0.004173881,0.0001266694,0.00009823956,0.0003636053,0.00001238196,0.00003299924,0.000697927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04081051,"threshold_uncertainty_score":0.9997337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040258197558857,"score_gpt":0.3347260546026244,"score_spread":0.3043234726270359,"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."}}