{"id":"W2560663397","doi":"10.1155/2016/1373725","title":"Preparation of Hierarchical BiOBr Microspheres for Visible Light-Induced Photocatalytic Detoxification and Disinfection","year":2016,"lang":"en","type":"article","venue":"Journal of Nanomaterials","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Ottawa","keywords":"Photocatalysis; Materials science; Catalysis; Hydrothermal circulation; Degradation (telecommunications); Detoxification (alternative medicine); Microsphere; Wastewater; Chemical engineering; Nanotechnology; Visible spectrum; Pollutant; Waste management; Organic chemistry; Chemistry; Optoelectronics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004789567,0.0001212444,0.0003641931,0.0001328831,0.00004826758,0.00003397603,0.0001158381,0.0001069848,0.00003517654],"category_scores_gemma":[0.0002531743,0.00008072687,0.00009853738,0.00009755027,0.00003722948,0.0004185787,0.00002375324,0.00002640039,0.0000033469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006829777,"about_ca_system_score_gemma":0.00004553241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001662098,"about_ca_topic_score_gemma":0.00001284401,"domain_scores_codex":[0.9987325,0.00007343769,0.0007776274,0.0001523365,0.0001350269,0.0001290797],"domain_scores_gemma":[0.9984576,0.0001621218,0.0009035814,0.0001968498,0.0002244396,0.00005546105],"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":[0.0006173559,0.00006571737,0.00008421085,0.0000453462,0.00004157315,5.880071e-7,0.00007834586,0.000004129889,0.9926167,0.0006767462,0.00009498568,0.005674268],"study_design_scores_gemma":[0.0007011822,0.0006220039,0.0004726717,0.0001216948,0.00005763872,0.00004369199,0.000009107055,0.00001402222,0.9873543,0.007984331,0.002519566,0.00009983686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866143,0.00005636243,0.01251183,0.00009478197,0.0001965516,0.000414275,0.0000121373,0.00002877817,0.00007100374],"genre_scores_gemma":[0.9930305,0.00008104731,0.006597987,0.000009025527,0.0001544621,0.00003986872,0.000005010033,0.00002121134,0.00006090161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007307584,"threshold_uncertainty_score":0.3291946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167449108329975,"score_gpt":0.3182919760162212,"score_spread":0.3015470651832237,"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."}}