{"id":"W2943975218","doi":"10.1039/c9ra01271k","title":"Antibiotic removal by agricultural waste biochars with different forms of iron oxide","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; Qinglan Project of Jiangsu Province of China; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Antibiotics; Agricultural waste; Chemistry; Agriculture; Iron oxide; Oxide; Biochar; Waste management; Environmental chemistry; Pulp and paper industry; Organic chemistry; Pyrolysis; Biochemistry; Biology; Engineering","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":[0.0001087706,0.0003013547,0.0002203581,0.0002332875,0.0001377029,0.0002447715,0.000170758,0.0002543598,0.0004972407],"category_scores_gemma":[0.000206452,0.00009989811,0.0002380873,0.000201604,0.00009951438,0.0001672622,0.0001077583,0.0001680729,0.0001750699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001912129,"about_ca_system_score_gemma":0.0001961082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485254,"about_ca_topic_score_gemma":0.003311096,"domain_scores_codex":[0.999862,0.00001655462,0.00001430946,0.00002552782,0.00004106615,0.00004053708],"domain_scores_gemma":[0.999938,0.00001096704,0.00001476123,0.000006169277,0.00002041536,0.000009716694],"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":[0.00009503597,0.00001586176,0.0002916009,0.00006045032,0.000006237501,0.00003558062,0.00001099901,0.0001146347,0.9968732,0.00002383713,0.00002349881,0.002449123],"study_design_scores_gemma":[0.00000338592,0.0001974286,0.001719791,0.00000695887,0.00001747914,0.00005729893,0.00002336994,0.0007823763,0.9963566,0.00001850619,0.0008132265,0.000003500565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964514,0.0008983923,0.001380788,0.00003079229,0.00002379507,0.00001172427,0.0001351868,0.00002260862,0.001045388],"genre_scores_gemma":[0.9969833,0.0004191128,0.001465174,0.00001727462,0.000004622792,0.000006162686,0.0001428949,0.000007208889,0.0009542116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001485254,"threshold_uncertainty_score":0.002953172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002894854704819904,"score_gpt":0.1782050667271982,"score_spread":0.1753102120223783,"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."}}