{"id":"W2334569301","doi":"10.1021/am501632f","title":"Highly Regenerable Mussel-Inspired Fe<sub>3</sub>O<sub>4</sub>@Polydopamine-Ag Core–Shell Microspheres as Catalyst and Adsorbent for Methylene Blue Removal","year":2014,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":431,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Methylene blue; Catalysis; Dispersity; Adsorption; Chemical engineering; Colloid; Nanoparticle; Reducing agent; Shell (structure); Desorption; Microsphere; Core (optical fiber); Nanotechnology; Organic chemistry; Polymer chemistry; Photocatalysis; Composite material; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007221032,0.0003995053,0.0002071644,0.0001635157,0.0001182436,0.0001668169,0.0002360561,0.0003865458,0.0004181887],"category_scores_gemma":[0.00008993549,0.0001932684,0.0002222974,0.00008984471,0.0001497324,0.0002260049,0.0002143585,0.0002600602,0.0003256314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030408,"about_ca_system_score_gemma":0.0001143911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006433348,"about_ca_topic_score_gemma":0.001609619,"domain_scores_codex":[0.9999267,0.000006700566,0.000005030039,0.00002167096,0.00002445443,0.00001553615],"domain_scores_gemma":[0.9999436,0.000007436361,0.00001961123,0.000006151463,0.00001289961,0.00001023317],"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":[0.00001424417,0.000005971231,0.00005859069,0.00002216651,0.000003701354,0.00002623481,0.000005028976,0.0000653255,0.9984947,0.00002647643,0.00002414684,0.001253326],"study_design_scores_gemma":[0.000004395967,0.00004796585,0.000568337,9.95023e-7,0.000008966761,0.00007346278,0.000004424499,0.001165459,0.9972273,0.00001858167,0.0008763521,0.000003774318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720523,0.001804885,0.02356046,0.0001111978,0.00004163817,0.00002777936,0.0001089862,0.0003705211,0.001922304],"genre_scores_gemma":[0.9783112,0.0005675895,0.01794941,0.00005127413,0.00001223258,0.00001772788,0.0000954713,0.0000390596,0.002956097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006433348,"threshold_uncertainty_score":0.001473188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155905456765567,"score_gpt":0.2281101074006524,"score_spread":0.2165510528329967,"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."}}