{"id":"W1996855595","doi":"10.1063/1.2175470","title":"Characterization of blinking dynamics in quantum dot ensembles using image correlation spectroscopy","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fluorescence correlation spectroscopy; Quantum dot; Characterization (materials science); Biological system; Spectroscopy; Dynamics (music); Total internal reflection fluorescence microscope; Microscopy; Correlation function (quantum field theory); Statistical physics; Materials science; Fluorescence; Physics; Nanotechnology; Optics; Optoelectronics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001129914,0.0001015329,0.0001750093,0.00005878872,0.00002433845,0.00001246876,0.00009804736,0.00008248517,8.320084e-7],"category_scores_gemma":[0.000005137315,0.000104795,0.00005323492,0.0001332756,0.00005115715,0.00001555379,0.00002782957,0.0001282113,2.227198e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008173053,"about_ca_system_score_gemma":0.00005443625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006552978,"about_ca_topic_score_gemma":0.000004677958,"domain_scores_codex":[0.9992697,0.00001287138,0.0003788868,0.0001043363,0.0001155918,0.0001185861],"domain_scores_gemma":[0.9991863,0.00000606087,0.0005738757,0.0001088958,0.0001096239,0.0000152059],"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":[0.0000945306,0.00007367696,0.001764329,0.00001536781,0.000006123703,0.00000129348,0.00002237101,0.005271714,0.991134,0.00141728,0.000005513895,0.0001938114],"study_design_scores_gemma":[0.0002600877,0.00007200678,0.001057115,0.00004815639,0.00001222695,0.000005408735,0.00002917225,0.01755699,0.9767786,0.004069058,0.00001949493,0.00009164076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6191936,0.00001294759,0.3805824,0.000002645821,0.0000363074,0.00006085192,0.000005375948,0.000002587525,0.0001032911],"genre_scores_gemma":[0.9389426,0.00004532028,0.060689,0.00001207266,0.0002122857,9.433052e-7,0.00007640533,0.00001872675,0.000002623308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3198934,"threshold_uncertainty_score":0.4273418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006219692576496052,"score_gpt":0.2574499182837952,"score_spread":0.2512302257072991,"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."}}