{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008143713,0.001015818,0.001422074,0.0001509723,0.0004417294,0.0006738632,0.0008082605,0.0006013936,0.0001383328],"category_scores_gemma":[0.0002395388,0.000981816,0.0001211595,0.0001868645,0.0003648901,0.0003114514,0.000509092,0.0002159737,0.0003948412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387658,"about_ca_system_score_gemma":0.0001200345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003444463,"about_ca_topic_score_gemma":0.0001472369,"domain_scores_codex":[0.9953686,0.00006421912,0.001510506,0.001492902,0.0004551592,0.001108618],"domain_scores_gemma":[0.996778,0.0004314254,0.0009220647,0.001373816,0.0001995739,0.0002951447],"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":[0.0007948171,0.0001835828,0.000005342722,0.000784619,0.0003405861,0.00001262198,0.0002876077,0.00002417787,0.9911382,0.0008871729,0.002448412,0.003092914],"study_design_scores_gemma":[0.002065621,0.0001483817,0.00001768381,0.0001963731,0.0004192523,0.0001680072,0.0002901662,0.000007559108,0.9883105,0.001114375,0.006219692,0.001042406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943032,0.000519196,0.00007558923,0.0001531355,0.001593396,0.0009292433,0.0009788547,0.0004852692,0.0009621673],"genre_scores_gemma":[0.9953051,0.0004266522,0.0008234225,0.0001689753,0.0009192599,0.0006735619,0.001023613,0.0002902199,0.0003691613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003771279,"threshold_uncertainty_score":0.9992632,"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."}}