{"id":"W565507479","doi":"10.1007/s10311-015-0512-8","title":"Sonochemical techniques to degrade pharmaceutical organic pollutants","year":2015,"lang":"en","type":"article","venue":"Environmental Chemistry Letters","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Pollutant; Biochemical engineering; Pollution; Environmental science; Degradation (telecommunications); Environmental chemistry; Waste management; Computer science; Chemistry; Engineering; Organic chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001867029,0.0004021422,0.0002514779,0.00001779576,0.00009866566,0.00004176378,0.0005088439,0.0001313184,0.009502664],"category_scores_gemma":[0.00004042949,0.0003897337,0.0001034461,0.0001703412,0.0005240685,0.0002259523,0.0006969228,0.0003835509,0.004344558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009891159,"about_ca_system_score_gemma":0.000007470939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008868557,"about_ca_topic_score_gemma":4.08211e-7,"domain_scores_codex":[0.9974448,0.00004049687,0.0003198255,0.0006952771,0.0007050884,0.0007945148],"domain_scores_gemma":[0.9980583,0.00002737599,0.00005866818,0.0003744941,6.501976e-7,0.00148054],"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":[0.00004885402,0.0002127098,0.01149155,0.000006300461,0.00001552768,0.00007127781,0.00009056855,0.0000350731,0.9754488,4.191453e-7,0.008319333,0.004259628],"study_design_scores_gemma":[0.0005033215,0.00003131878,0.004326962,0.00001330918,0.00003082497,0.0001291651,0.00007127657,0.00009063875,0.9575153,0.00002593852,0.03675131,0.0005106025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881341,0.00004144305,0.0003479187,0.005311785,0.00007733962,0.0002615737,0.00004684403,0.0001542319,0.0056248],"genre_scores_gemma":[0.9859673,0.00001592734,0.00280002,0.01035829,0.0001705409,0.00001353692,0.00002040375,0.00005673919,0.0005972695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02843198,"threshold_uncertainty_score":0.9998555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349359795117505,"score_gpt":0.2699572803369383,"score_spread":0.2464636823857633,"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."}}