{"id":"W2065194575","doi":"10.1016/j.jcis.2007.11.030","title":"Chemically stable silver nanoparticle-crosslinked polymer microspheres","year":2007,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering; Genomic Health","keywords":"Nanoparticle; Polymer; Nanotechnology; Materials science; Chemical engineering; X-ray photoelectron spectroscopy; Polymerization; Nanomedicine; Microsphere; Raman spectroscopy; Nanoscopic scale; Catalysis; Chemical stability; Economies of agglomeration; Suspension (topology); Chemistry; 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":[0.001515909,0.0001001768,0.0001931514,0.0000598271,0.0002124018,0.0001889208,0.0004088565,0.00003326339,0.000281498],"category_scores_gemma":[0.00008942072,0.00007264601,0.00005072012,0.0003501591,0.0005106718,0.0005508244,0.00009464807,0.00009444611,0.00006461899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004503822,"about_ca_system_score_gemma":0.0001566132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009741653,"about_ca_topic_score_gemma":0.000004228712,"domain_scores_codex":[0.9985802,0.00001328677,0.0004552573,0.0001952175,0.0003844507,0.0003716281],"domain_scores_gemma":[0.9990504,0.0000976721,0.0002408376,0.0001579335,0.0002470585,0.0002060991],"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":[0.00006491564,0.00006685455,0.001695954,0.000004575411,0.000002985571,5.333518e-7,0.0002104441,0.00001265999,0.9969782,0.0003830392,0.000277212,0.0003025976],"study_design_scores_gemma":[0.0002970409,0.000115661,0.002645474,0.00003840059,0.00001130327,0.00004438084,0.0004205738,0.00005624474,0.9942063,0.00007864674,0.001986833,0.00009914987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975986,0.0008261537,0.0002667491,0.0002455545,0.0002613329,0.0000722705,0.000002394854,0.0000102341,0.0007167062],"genre_scores_gemma":[0.9979473,0.00002423042,0.0009916174,0.0001548507,0.00005454083,7.332621e-7,3.089533e-8,0.000005793885,0.0008208777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002771937,"threshold_uncertainty_score":0.3082205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008787423498991311,"score_gpt":0.2620981650087588,"score_spread":0.2533107415097675,"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."}}