{"id":"W2588623503","doi":"10.1007/s11270-017-3283-y","title":"Surfactant-Assisted Sono-breakage of Wastewater Particles for Improved UV Disinfection","year":2017,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Ultrasound and Cavitation Phenomena","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Breakage; Pulmonary surfactant; Sonication; Wastewater; Particle (ecology); Ultraviolet; Cavitation; Chemistry; Aeration; Sonochemistry; Chemical engineering; Materials science; Chromatography; Pulp and paper industry; Environmental engineering; Organic chemistry; Composite material; Environmental science; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004153786,0.0001492913,0.000205438,0.00004366384,0.000535227,0.0001542693,0.0001956529,0.00007379878,0.00009817824],"category_scores_gemma":[0.00005081225,0.0001031709,0.0001103641,0.00002412261,0.0001603439,0.0006099306,0.00005348101,0.00004131229,0.00009638301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005861943,"about_ca_system_score_gemma":0.00002201792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002795008,"about_ca_topic_score_gemma":0.00009124522,"domain_scores_codex":[0.9988471,0.00005292707,0.0003313905,0.0002740387,0.0001307963,0.0003637793],"domain_scores_gemma":[0.9991618,0.0000222125,0.0002141212,0.0004234004,0.0001065094,0.00007193079],"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":[0.0001105695,0.0000875711,0.0003703394,0.00003911609,0.00001173182,1.908887e-7,0.0006015816,0.00007236942,0.9948267,0.0001660078,0.00009011854,0.003623701],"study_design_scores_gemma":[0.000893698,0.00014676,0.02945578,0.00002182137,0.00003713752,0.00000326686,0.0001073317,0.0003651004,0.9651721,0.002795792,0.000835573,0.0001656423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958457,0.00001136432,0.001756626,0.001023904,0.0006257339,0.000267716,0.0001253908,0.00006706271,0.000276551],"genre_scores_gemma":[0.9985742,0.000003364868,0.0004834029,0.00005986696,0.0001236722,0.00004557074,0.00004375413,0.00001969322,0.0006464566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0296546,"threshold_uncertainty_score":0.4207188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165495336358197,"score_gpt":0.2494221347479694,"score_spread":0.2328726011121497,"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."}}