{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001809056,0.000329493,0.000160099,0.0002201867,0.000130052,0.0001876501,0.0001702006,0.0002991454,0.0005285768],"category_scores_gemma":[0.0002502643,0.0001643211,0.0001800565,0.0001642855,0.0001774581,0.0003693977,0.0002052715,0.0003939461,0.0001807327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260184,"about_ca_system_score_gemma":0.0001127949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000258255,"about_ca_topic_score_gemma":0.0002812175,"domain_scores_codex":[0.9998853,0.00001585613,0.000009355873,0.0000257297,0.00003367419,0.00003003889],"domain_scores_gemma":[0.999885,0.00003076704,0.00003105976,0.00001134609,0.00002377012,0.00001812021],"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":[0.00002894846,0.00001747444,0.00007275644,0.00002342659,0.000001825792,0.00005160912,0.00001764184,0.0001170866,0.9981503,0.0001297326,0.00001824291,0.001370978],"study_design_scores_gemma":[0.00000270641,0.00005768846,0.0003744715,0.000001075065,0.000002398282,0.00005530355,0.000001852826,0.0002884591,0.9988486,0.00001376041,0.0003520352,0.000001680037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875924,0.0006300102,0.009509205,0.00006967417,0.00001182653,0.00003415339,0.0000698908,0.0001235982,0.001959292],"genre_scores_gemma":[0.9915706,0.0005091634,0.005372116,0.00002694701,0.000007141056,0.00002321097,0.00009111257,0.00001533543,0.002384367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005285768,"threshold_uncertainty_score":0.001887798,"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."}}