{"id":"W3184111745","doi":"10.1016/j.jhazmat.2021.126766","title":"Ultraviolet photocatalytic oxidation technology for indoor volatile organic compound removal: A critical review with particular focus on byproduct formation and modeling","year":2021,"lang":"en","type":"review","venue":"Journal of Hazardous Materials","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"HVAC; Photocatalysis; Environmental science; Pollutant; Indoor air quality; Volatile organic compound; Ultraviolet; Indoor air; Waste management; Environmental chemistry; Air conditioning; Process engineering; Environmental engineering; Pulp and paper industry; Materials science; Chemistry; Engineering; Catalysis; Organic chemistry; Mechanical engineering","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":[0.001442646,0.000286817,0.001457739,0.00009854992,0.0001353989,0.000106478,0.0001820303,0.0001755161,0.00007472881],"category_scores_gemma":[0.0007928403,0.0002015175,0.000130303,0.0002161252,0.00009124395,0.0001911077,0.00006693985,0.000226867,0.00001391604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158544,"about_ca_system_score_gemma":0.00007069337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004841925,"about_ca_topic_score_gemma":9.699763e-7,"domain_scores_codex":[0.9977341,0.0001964475,0.001189597,0.0002894893,0.0003352598,0.0002551461],"domain_scores_gemma":[0.9985113,0.0001625268,0.0008881284,0.000261842,0.0000941902,0.00008198198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002083707,0.0003477836,0.000008454259,0.08820507,0.0004251916,0.00040064,0.0003223024,0.0001620757,0.02476474,0.0001794274,0.001122723,0.8838532],"study_design_scores_gemma":[0.002260983,0.003619957,0.000002904075,0.460054,0.01027341,0.0337746,0.0003841628,0.001166651,0.04869465,0.002580571,0.4346667,0.002521372],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02854315,0.965229,0.004304722,0.0003800637,0.0003257396,0.001155805,0.00002861302,0.00002245534,0.00001046923],"genre_scores_gemma":[0.01598611,0.979405,0.00411826,0.00003815165,0.0002813477,0.00006519804,0.00003678627,0.00005683925,0.00001233802],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8813319,"threshold_uncertainty_score":0.8217645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06666063109149716,"score_gpt":0.3324005110839047,"score_spread":0.2657398799924076,"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."}}