{"id":"W2537464492","doi":"10.1039/c6ra22433d","title":"Predicting signatures of anisotropic resonance energy transfer in dye-functionalized nanoparticles","year":2016,"lang":"en","type":"article","venue":"RSC Advances","topic":"Photochemistry and Electron Transfer Studies","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"European Research Council; European Commission","keywords":"Anisotropy; Character (mathematics); Cyanine; Resonance (particle physics); Photoluminescence; Nanoparticle; Nanomaterials; Förster resonance energy transfer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000221754,0.0002386509,0.0001524463,0.0002510182,0.0001098364,0.0002652435,0.0002472209,0.0004187071,0.0002425286],"category_scores_gemma":[0.0006762713,0.0001504021,0.0001571282,0.0001542242,0.0002888294,0.0003482948,0.0001767633,0.000265935,0.0000733634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272965,"about_ca_system_score_gemma":0.0001058584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005796357,"about_ca_topic_score_gemma":0.0004848338,"domain_scores_codex":[0.999927,0.00001079328,0.000003920939,0.00002347658,0.00002093268,0.00001373506],"domain_scores_gemma":[0.9997646,0.0001270154,0.00004399238,0.00003257864,0.00002104141,0.00001074658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001554552,0.0000568315,0.005602378,0.00007701029,0.00002039527,0.0002200652,0.00007900769,0.1186749,0.8664614,0.003448042,0.00006615242,0.005138296],"study_design_scores_gemma":[0.000007262448,0.00006754916,0.00334877,0.00000256471,0.000008681276,0.0000494803,0.00002311706,0.7293311,0.2657963,0.001187013,0.0001672244,0.00001087977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886739,0.00005491013,0.01056076,0.00001594357,0.000002012193,0.000005161944,0.00002173191,0.00005242165,0.0006132399],"genre_scores_gemma":[0.9976451,0.00003767269,0.002164957,0.000002406171,7.5729e-7,0.00000500274,0.00002554595,0.0000067681,0.0001117386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005796357,"threshold_uncertainty_score":0.002374649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007915492440307178,"score_gpt":0.2269653622094957,"score_spread":0.2190498697691885,"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."}}