{"id":"W3133326517","doi":"10.1016/j.chemosphere.2021.130055","title":"Toxicity and remediation of pharmaceuticals and pesticides using metal oxides and carbon nanomaterials","year":2021,"lang":"en","type":"review","venue":"Chemosphere","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":173,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Adsorption; Environmental remediation; Graphene; Environmental chemistry; Carbon fibers; Nanomaterials; Carbon nanotube; Pesticide; Oxide; Chemistry; Contamination; Nanotechnology; Materials science; Organic chemistry; Composite material","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":[0.0001476576,0.0002511953,0.001056304,0.00002226787,0.00003223743,0.00005520093,0.00004952378,0.0001925462,0.00002618106],"category_scores_gemma":[0.00004041753,0.0002304622,0.00005422127,0.0001267094,0.00008003001,0.00006340642,0.00006465206,0.00005928538,2.666931e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000210536,"about_ca_system_score_gemma":0.0000329161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001140153,"about_ca_topic_score_gemma":0.000001922939,"domain_scores_codex":[0.9990783,0.00004328465,0.0004351122,0.000233665,0.00007029375,0.0001393886],"domain_scores_gemma":[0.9995219,0.000105298,0.0001181734,0.0001502208,0.00003074391,0.00007363279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000489226,0.00006080906,0.0001138729,0.07540061,0.0006888357,0.00001121447,0.0001689085,0.00001102707,0.3428717,0.0003229574,0.00003933722,0.5803059],"study_design_scores_gemma":[0.001169841,0.0000680981,0.0001833233,0.01587156,0.008556714,0.0005150816,0.0001814862,0.002038527,0.775877,0.0006104847,0.1926469,0.00228097],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3319459,0.6676524,0.00001412775,0.000001272676,0.00006759164,0.0002109447,0.00002779572,0.00003279473,0.00004714741],"genre_scores_gemma":[0.03075142,0.9675684,0.001500065,0.000002643066,0.00007160273,0.00003373055,0.00002932611,0.00003909918,0.000003711921],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5780249,"threshold_uncertainty_score":0.9397977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04957826345352265,"score_gpt":0.3135369207724376,"score_spread":0.263958657318915,"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."}}