{"id":"W2548273629","doi":"10.1016/j.reactfunctpolym.2016.10.012","title":"Soft-nanocoupling between silica and gold nanoparticles based on block copolymer","year":2016,"lang":"en","type":"article","venue":"Reactive and Functional Polymers","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Xi'an University of Technology; Xi'an University of Science and Technology; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Copolymer; Materials science; Nanoparticle; Methacrylate; Elastomer; Polymer chemistry; Ethylene oxide; Surface modification; Raft; Adhesive; Chemical engineering; Nanotechnology; Polymer; Composite material; Layer (electronics)","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":[0.0001047868,0.0001337593,0.0001516448,0.00005972926,0.0001735674,0.00003939533,0.00005009096,0.00005557957,0.0001958592],"category_scores_gemma":[0.00002953475,0.00008917352,0.00003483552,0.00007348193,0.0001901188,0.0001362683,0.00003259731,0.00004148207,0.00007413415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002560018,"about_ca_system_score_gemma":0.00003512726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005588725,"about_ca_topic_score_gemma":0.000003152556,"domain_scores_codex":[0.9990911,0.00002643498,0.0001502315,0.0003490911,0.0001791116,0.0002040551],"domain_scores_gemma":[0.9990727,0.0005498381,0.00007097772,0.0001502036,0.00002819172,0.0001280313],"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":[0.0000688458,0.00003552979,0.002578994,0.000003847115,0.000009932251,4.126078e-7,0.00001653228,0.000002022115,0.9815913,0.0005123556,0.0003043652,0.01487581],"study_design_scores_gemma":[0.0005140482,0.00007525261,0.02491124,0.00004413169,0.00003829721,0.000003745619,0.00004433181,0.00009487419,0.9675525,0.0002042693,0.006337217,0.0001800872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949414,0.00021752,0.0008675796,0.002393768,0.00008059899,0.0001249565,0.00007328019,0.00004811648,0.001252832],"genre_scores_gemma":[0.9986852,0.00001680359,0.00007259846,0.0002997019,0.0001661761,0.00004184748,0.000002858769,0.00001333862,0.0007014571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02233224,"threshold_uncertainty_score":0.3636391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986081331183213,"score_gpt":0.23139298104386,"score_spread":0.2115321677320279,"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."}}