{"id":"W2005623554","doi":"10.1039/b607124d","title":"Water soluble quantum dot nanoclusters: energy migration in artifical materials","year":2006,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alfred P. Sloan Foundation","keywords":"Nanoclusters; Quantum dot; Photoluminescence; Quenching (fluorescence); Cluster (spacecraft); Absorption (acoustics); Materials science; Fluorescence; Transmission electron microscopy; Scattering; Acceptor; Molecular physics; Dynamic light scattering; Analytical Chemistry (journal); Nanoparticle; Chemistry; Nanotechnology; Optoelectronics; Optics; Physics; Condensed matter 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":[0.00008845294,0.0001516165,0.0001373639,0.00007413058,0.0000942421,0.0002363399,0.0002395681,0.0002800849,0.0002016103],"category_scores_gemma":[0.0001072367,0.00009714153,0.00009547872,0.00006718713,0.0002029587,0.0002623974,0.0001174847,0.0001764659,0.0001110059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375753,"about_ca_system_score_gemma":0.00007538359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002639949,"about_ca_topic_score_gemma":0.0003328184,"domain_scores_codex":[0.9999455,0.000006866211,0.000004293141,0.00001933007,0.00001558524,0.000008347636],"domain_scores_gemma":[0.9999627,0.000009724869,0.000009545216,0.0000054119,0.000006227413,0.000006467449],"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":[0.00001498815,0.000006189332,0.00005041284,0.0000223718,0.000001915452,0.00002990333,0.00001120183,0.0002134452,0.9980869,0.0002548104,0.00002748429,0.001280401],"study_design_scores_gemma":[0.000004277295,0.00003627209,0.0002396016,0.000001328713,0.000004375184,0.00007310551,0.000004749576,0.001945012,0.9966437,0.00006530453,0.0009800674,0.000002160947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798151,0.002092552,0.01680053,0.0001586343,0.00002833876,0.00001878306,0.00005334009,0.0001529971,0.0008796572],"genre_scores_gemma":[0.9876512,0.0006697625,0.009574003,0.00005017425,0.000005443303,0.00001576759,0.00005526721,0.00002676088,0.001951631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003375753,"threshold_uncertainty_score":0.002449274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560384250879939,"score_gpt":0.2158616322384086,"score_spread":0.2002577897296092,"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."}}