{"id":"W2789837234","doi":"10.1039/c7nr08979a","title":"Large-scale dewetting assembly of gold nanoparticles for plasmonic enhanced upconversion nanoparticles","year":2018,"lang":"en","type":"article","venue":"Nanoscale","topic":"Luminescence Properties of Advanced Materials","field":"Materials Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"China Scholarship Council; Australian Synchrotron; Australian Government","keywords":"Dewetting; Nanoparticle; Materials science; Colloidal gold; Nanotechnology; Plasmon; Photon upconversion; Plasmonic nanoparticles; Scale (ratio); Optoelectronics; Thin film; Luminescence","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":[0.0006709733,0.00023548,0.0004205043,0.00006902952,0.0002337651,0.00007212033,0.0004648078,0.0001256978,0.0002520551],"category_scores_gemma":[0.0003480863,0.0002033315,0.0001030048,0.0001917577,0.0003330876,0.000593206,0.0002239459,0.00004747666,0.0002827794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006604697,"about_ca_system_score_gemma":0.00007343762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000208559,"about_ca_topic_score_gemma":0.00005548313,"domain_scores_codex":[0.9976741,0.00007641298,0.0006195226,0.0005296667,0.0003404799,0.0007598248],"domain_scores_gemma":[0.9985619,0.0001532177,0.0003170351,0.0004638162,0.0003718184,0.0001322349],"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":[0.0003425061,0.000143247,0.0001409544,0.0001149645,0.000005864793,5.958685e-7,0.0009173194,0.00001144035,0.9969311,0.00009513388,0.0008197299,0.0004771126],"study_design_scores_gemma":[0.001131266,0.0005089446,0.0001493019,0.0001314197,0.00003086918,0.000002827023,0.0006266924,0.000161093,0.9951491,0.0003431807,0.00150145,0.0002638218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996441,0.0001236143,0.001140681,0.0001828054,0.001138773,0.0005270712,0.00006655842,0.0001630934,0.0002163852],"genre_scores_gemma":[0.9817988,0.00001329162,0.01723919,0.0001466103,0.0002086943,0.00008896753,0.000005208067,0.00004160084,0.0004576331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01609851,"threshold_uncertainty_score":0.8291619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537842213204335,"score_gpt":0.2617527310488791,"score_spread":0.2463743089168358,"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."}}