{"id":"W2133142575","doi":"10.1016/j.cplett.2008.02.002","title":"Fluorescence correlation spectroscopy for diffusion of mobile quantum dots in dilute solutions","year":2008,"lang":"en","type":"article","venue":"Chemical Physics Letters","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantum dot; Fluorescence correlation spectroscopy; Autocorrelation; Saturation (graph theory); Spectroscopy; Diffusion; Fluorescence; Correlation function (quantum field theory); Nanocrystal; Chemistry; Quantum correlation; Materials science; Quantum; Analytical Chemistry (journal); Physics; Nanotechnology; Quantum mechanics; Optoelectronics; Mathematics; Statistics; Quantum dynamics","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":[0.0003554044,0.0003003995,0.0003924871,0.0005462145,0.0006281192,0.0005998322,0.0006309141,0.0007563467,0.001315651],"category_scores_gemma":[0.000940481,0.0002798183,0.0001505984,0.0004009479,0.0005329786,0.0007993912,0.0004061615,0.001032878,0.0002497304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318554,"about_ca_system_score_gemma":0.0007407562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178399,"about_ca_topic_score_gemma":0.002718171,"domain_scores_codex":[0.9997957,0.00002755909,0.000005675414,0.00007200199,0.00005953376,0.00003941525],"domain_scores_gemma":[0.9995973,0.0002135915,0.00005777219,0.00003006933,0.00005706145,0.00004422245],"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":[0.0001944467,0.00008052626,0.0004528045,0.0000682869,0.000006261569,0.00007218767,0.00009582174,0.001159947,0.9887743,0.002850597,0.0002952824,0.005949446],"study_design_scores_gemma":[0.00003770167,0.0001427572,0.001436559,0.00001260729,0.000009242638,0.0001176806,0.00002746651,0.05455187,0.9422621,0.0004803513,0.0008937064,0.00002791011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545944,0.001353443,0.03986518,0.0003919958,0.00003322021,0.00005543651,0.0001744776,0.0002320298,0.003299922],"genre_scores_gemma":[0.987666,0.0005330814,0.009730725,0.0001029302,0.00001503077,0.0000417556,0.0001146545,0.00002400673,0.001771863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003178399,"threshold_uncertainty_score":0.009566844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673831763045403,"score_gpt":0.2367746816360184,"score_spread":0.2100363640055644,"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."}}