{"id":"W4313472125","doi":"10.3390/catal13010077","title":"Catalytic Activation of Hydrogen Peroxide Using Highly Porous Hydrothermally Modified Manganese Catalysts for Removal of Azithromycin Antibiotic from Aqueous Solution","year":2022,"lang":"en","type":"article","venue":"Catalysts","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Catalysis; Hydrogen peroxide; Chemistry; Inorganic chemistry; Manganese; Calcination; Aqueous solution; Nuclear chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007677608,0.0002271997,0.0001305352,0.0001416763,0.00006374696,0.0001779483,0.0002264214,0.0002143428,0.0003305417],"category_scores_gemma":[0.0001150674,0.00008771889,0.0001651564,0.00008115741,0.0001204384,0.0002109888,0.0001477459,0.0002104317,0.0001145682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532976,"about_ca_system_score_gemma":0.0000933467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004734861,"about_ca_topic_score_gemma":0.001397574,"domain_scores_codex":[0.9999313,0.000008085709,0.000005565887,0.0000162849,0.00002392285,0.00001475342],"domain_scores_gemma":[0.9999766,0.000004753427,0.000007561485,0.000002476191,0.000004904752,0.000003789885],"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":[0.00001798092,0.000006246864,0.0001001112,0.00004038608,0.000005438721,0.00002333809,0.000005222567,0.00005819511,0.9976376,0.00005066892,0.00001591433,0.002038829],"study_design_scores_gemma":[0.000006591372,0.00007679621,0.0008329813,0.00000259513,0.00001167644,0.00006204947,0.000009465452,0.001615858,0.9961694,0.00002133372,0.001188458,0.0000027606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864247,0.002753685,0.008845458,0.00009180967,0.00004463552,0.00002849925,0.00006356565,0.00007774506,0.001669829],"genre_scores_gemma":[0.9956246,0.0006518511,0.002891841,0.00001457248,0.000008026673,0.000006760632,0.00004279445,0.00000636712,0.000753034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004734861,"threshold_uncertainty_score":0.001112282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991946040971162,"score_gpt":0.2437725457961534,"score_spread":0.2238530853864417,"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."}}