{"id":"W2337401106","doi":"10.1039/c6py00443a","title":"Aggregation enhanced excimer emission (AEEE) with efficient blue emission based on pyrene dendrimers","year":2016,"lang":"en","type":"article","venue":"Polymer Chemistry","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health PEI; University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada; Alexandria University","keywords":"Excimer; Dendrimer; Pyrene; Aggregation-induced emission; Fluorescence; Monomer; Photochemistry; Emission intensity; Chemistry; Materials science; Optoelectronics; Luminescence; Polymer chemistry; Polymer; Organic chemistry; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001945329,0.000314821,0.0002608993,0.00004178189,0.000155852,0.00006535382,0.0002982295,0.0001615857,0.002754899],"category_scores_gemma":[0.0000714411,0.0001850233,0.00006629802,0.0001185839,0.000163076,0.0001111702,0.00005414366,0.00006849292,0.0002510069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058339,"about_ca_system_score_gemma":0.0001282548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002022666,"about_ca_topic_score_gemma":2.890796e-7,"domain_scores_codex":[0.9979518,0.00004567443,0.0003316161,0.000629828,0.0005635078,0.0004775921],"domain_scores_gemma":[0.9988105,0.00007359139,0.0002231408,0.0005701305,0.0000770721,0.0002455544],"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":[0.0004141149,0.0001418794,0.0003134382,0.00006819655,0.000004486087,0.000008744005,0.0000773522,0.00002809875,0.9972519,0.000001806014,0.0003448066,0.001345173],"study_design_scores_gemma":[0.001175252,0.00005583704,0.00009516825,0.0008132661,0.00002454039,0.000005671736,0.00003148552,0.0001779102,0.9970994,0.000003088834,0.0001769841,0.0003414134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959074,0.00010306,0.001631506,0.0003764089,0.0002907013,0.0001539264,0.00002614968,0.0001604132,0.001350476],"genre_scores_gemma":[0.9955596,0.000008262846,0.0001436261,0.0001373147,0.0002414844,0.00003464044,0.00002294138,0.00003987465,0.003812202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002503892,"threshold_uncertainty_score":0.9981567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006776721374024082,"score_gpt":0.2194917340538263,"score_spread":0.2127150126798022,"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."}}