{"id":"W3037990431","doi":"10.1016/j.jhazmat.2020.123310","title":"Efficient activation of peroxymonosulfate by composites containing iron mining waste and graphitic carbon nitride for the degradation of acetaminophen","year":2020,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção; Universidade Federal de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Graphitic carbon nitride; Catalysis; Melamine; Leaching (pedology); Degradation (telecommunications); Chemistry; Composite number; Materials science; Carbon fibers; Chemical engineering; Thermal stability; Composite material; Photocatalysis; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004454895,0.0001305708,0.0004741773,0.00009217801,0.00005291593,0.00002531412,0.0001484142,0.00005256402,0.000005426975],"category_scores_gemma":[0.0002291592,0.00009484615,0.00007644136,0.0001045767,0.00007067728,0.0000749251,0.00003532853,0.00005592889,5.430789e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003083818,"about_ca_system_score_gemma":0.00002237873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009346362,"about_ca_topic_score_gemma":0.000002522959,"domain_scores_codex":[0.9986953,0.00009394969,0.0007678072,0.0001114964,0.0002096032,0.0001218729],"domain_scores_gemma":[0.9979738,0.0003934198,0.001274274,0.0001107333,0.000204919,0.00004286761],"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":[0.0007387492,0.00002601741,0.0001362793,0.000110769,0.00008590745,7.67642e-7,0.0006881622,0.006949552,0.9903679,0.00009148336,0.00002581003,0.0007785495],"study_design_scores_gemma":[0.0007228475,0.00052837,0.0001291783,0.0001294203,0.0001674696,0.000007945828,0.0008326643,0.002817605,0.9944469,0.00009243888,0.00004039345,0.00008479092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951568,0.0002373952,0.003960684,0.0002208111,0.0000630203,0.0003021678,0.00002381778,0.00001302878,0.00002226699],"genre_scores_gemma":[0.9965324,0.00004429835,0.003260003,0.0000429553,0.00006624161,0.00001305844,0.0000129321,0.00002216654,0.000005973507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004131946,"threshold_uncertainty_score":0.3867714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634960903894687,"score_gpt":0.2459188173753346,"score_spread":0.2295692083363877,"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."}}