{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001814307,0.0003266135,0.0002342975,0.0001760591,0.0001406875,0.0001901675,0.0002074738,0.0003992399,0.0009426474],"category_scores_gemma":[0.0001594974,0.0001871212,0.0003315908,0.0001026475,0.0001102107,0.0002416179,0.0002045728,0.0003973652,0.000432427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466144,"about_ca_system_score_gemma":0.0002887749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008789109,"about_ca_topic_score_gemma":0.002398498,"domain_scores_codex":[0.9998806,0.0000098133,0.00001086416,0.00003367589,0.00003865153,0.00002646586],"domain_scores_gemma":[0.9999163,0.0000118912,0.00002679217,0.000008635518,0.00002206716,0.00001426088],"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":[0.00001182915,0.000008039769,0.00002034441,0.00002148025,0.00000176894,0.0000101893,0.000004009327,0.0000608416,0.9988777,0.00003586677,0.00001992625,0.0009280307],"study_design_scores_gemma":[0.000009412014,0.0001166417,0.0004685197,0.000002495448,0.000006654059,0.00004117382,0.000004414689,0.0007796853,0.9976024,0.000019255,0.0009450252,0.000004343618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463044,0.003796958,0.04463378,0.000202023,0.00008230177,0.0001911624,0.0006233761,0.0007599245,0.003406188],"genre_scores_gemma":[0.9668431,0.0006963852,0.02910811,0.00005269191,0.00001627249,0.0001015981,0.0004177795,0.0000637605,0.002700352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009426474,"threshold_uncertainty_score":0.003153443,"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."}}