{"id":"W2911597207","doi":"10.1016/j.ultsonch.2019.01.027","title":"An ultrasound-assisted photocatalytic treatment to remove an herbicidal pollutant from wastewaters","year":2019,"lang":"en","type":"article","venue":"Ultrasonics Sonochemistry","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Photocatalysis; Pollutant; Catalysis; Sonochemistry; Mineralization (soil science); Degradation (telecommunications); Photodissociation; Environmental chemistry; Chemistry; Chemical engineering; Water treatment; Materials science; Photochemistry; Nanotechnology; Environmental science; Environmental engineering; Organic chemistry; Nitrogen; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009055118,0.000477449,0.0003477737,0.00002734478,0.0001325948,0.0001156706,0.0005277022,0.0001687246,0.004204705],"category_scores_gemma":[0.00002398341,0.0004255588,0.0001111081,0.0002134662,0.00009122688,0.0004407162,0.00006570708,0.0001345935,0.002357471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791332,"about_ca_system_score_gemma":0.00004792308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340575,"about_ca_topic_score_gemma":0.0002210697,"domain_scores_codex":[0.9973673,0.00004891978,0.0003745437,0.001151928,0.0004208223,0.0006364345],"domain_scores_gemma":[0.9977,0.00009407406,0.0001347927,0.001414455,0.00001366031,0.0006429952],"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":[0.0001033142,0.000555534,0.02127904,0.000004757027,0.00004836323,0.00001747716,0.001252002,0.005209086,0.9684683,0.00000279147,0.0000322072,0.003027123],"study_design_scores_gemma":[0.001235277,0.0005036478,0.0143698,0.00002435001,0.00005633588,0.00004671408,0.001194431,0.0006830987,0.979473,0.0001401558,0.001673806,0.0005994058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962125,0.00001862914,0.0003899544,0.0001059559,0.0001393868,0.0006625037,0.0002484253,0.0001809878,0.002041638],"genre_scores_gemma":[0.980605,0.00001203427,0.01624192,0.0002739274,0.00006656911,0.00007529264,0.000668416,0.00006710291,0.001989722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01585197,"threshold_uncertainty_score":0.9998196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00779955815396753,"score_gpt":0.2437890289907529,"score_spread":0.2359894708367854,"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."}}