{"id":"W4323256926","doi":"10.1016/j.jece.2023.109636","title":"Multiphysics modeling of flow-through advanced oxidation photoreactors with in-situ hydrogen peroxide electrogeneration","year":2023,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Innovate BC","keywords":"Multiphysics; Hydrogen peroxide; Ultraviolet; Electrochemistry; Radical; Chemical engineering; Materials science; In situ; Radiation; Chemistry; Fluence; Degradation (telecommunications); Process engineering; Photochemistry; Electrode; Computer science; Thermodynamics; Physics; Optoelectronics; Organic chemistry; Optics; Engineering; Ion","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":[0.00023765,0.0005741595,0.0007194466,0.0002629616,0.0005406371,0.0008520814,0.000977465,0.001259481,0.002520859],"category_scores_gemma":[0.0004957708,0.0003746329,0.0008521597,0.0003373204,0.0003958344,0.0007310678,0.0003096493,0.0005683486,0.0002926172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062159,"about_ca_system_score_gemma":0.0009041224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01385502,"about_ca_topic_score_gemma":0.006335435,"domain_scores_codex":[0.9998941,0.00001537729,0.000004441526,0.00002448519,0.00003399406,0.00002759341],"domain_scores_gemma":[0.9998018,0.00009687674,0.00002685538,0.00001702179,0.00004351769,0.00001397197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009776549,0.0001865034,0.0009482161,0.00006685052,0.00003150915,0.0001395042,0.00004984091,0.9469038,0.04669767,0.00164232,0.0002422658,0.002993916],"study_design_scores_gemma":[0.000008552071,0.00002924701,0.0002841843,0.00000130908,0.000004638435,0.000005626237,0.00001072274,0.996058,0.003332452,0.0001316997,0.0001289764,0.000004586465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349633,0.0004090104,0.0459357,0.0005580921,0.0001168789,0.00009279809,0.0004460592,0.0002695295,0.01720856],"genre_scores_gemma":[0.993241,0.0001432053,0.002591925,0.00004829422,0.00001054469,0.00004689232,0.0000891132,0.00002684415,0.003802347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385502,"threshold_uncertainty_score":0.02754873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005446322646942303,"score_gpt":0.1883545696494431,"score_spread":0.1829082470025008,"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."}}