{"id":"W2088952975","doi":"10.1038/nmat3804","title":"Enhancing multiphoton upconversion through energy clustering at sublattice level","year":2013,"lang":"en","type":"letter","venue":"Nature Materials","topic":"Luminescence Properties of Advanced Materials","field":"Materials Science","cited_by":597,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Institute of Materials Research and Engineering; Canadian Light Source; Basic Energy Sciences; University of Washington","keywords":"Photon upconversion; Lanthanide; Materials science; Luminescence; Excited state; Ion; Doping; Quenching (fluorescence); Excitation; Nanocrystal; Optoelectronics; Photochemistry; Nanotechnology; Chemistry; Optics; Fluorescence; Atomic physics; Physics","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":[0.0001801221,0.0003277942,0.0003369157,0.0002108525,0.0004719113,0.0007141753,0.0006837395,0.0005685776,0.005384764],"category_scores_gemma":[0.000270474,0.0002598503,0.0001635224,0.0002665869,0.0004033889,0.000626037,0.0007130229,0.0005669295,0.0009005329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008054894,"about_ca_system_score_gemma":0.0002305195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003659666,"about_ca_topic_score_gemma":0.001562404,"domain_scores_codex":[0.999882,0.00001277573,0.000004617154,0.00002404561,0.00004327257,0.00003321188],"domain_scores_gemma":[0.9998422,0.00006359322,0.00002367928,0.00002523771,0.00002095293,0.00002430793],"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":[0.0001537984,0.0001052468,0.00042738,0.0001307115,0.000009385673,0.0002402005,0.00009148686,0.002731787,0.9730948,0.01415916,0.001002417,0.007853726],"study_design_scores_gemma":[0.00004950361,0.0001295298,0.001228035,0.0000108542,0.00001024208,0.0001965914,0.00006601573,0.05336959,0.9377237,0.00201979,0.005165789,0.00003025247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428218,0.0007342537,0.02394584,0.001264678,0.0001896635,0.00005640378,0.0001028967,0.0004312998,0.03045312],"genre_scores_gemma":[0.9865072,0.0001901982,0.008227362,0.0001177278,0.00002745148,0.00002969215,0.00004199966,0.00006016007,0.004798346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005384764,"threshold_uncertainty_score":0.01801383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108937447726279,"score_gpt":0.24699381922374,"score_spread":0.2259044447464773,"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."}}