{"id":"W2113316578","doi":"10.1039/c1nr11285f","title":"Deep tissue bio-imaging using two-photon excited CdTe fluorescent quantum dots working within the biological window","year":2011,"lang":"en","type":"article","venue":"Nanoscale","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Concordia University","funders":"","keywords":"Quantum dot; Excited state; Fluorescence; Cadmium telluride photovoltaics; Materials science; Penetration depth; Optoelectronics; Two-photon excitation microscopy; Photon; Biological imaging; Fluorescence-lifetime imaging microscopy; Absorption (acoustics); Wavelength; Excitation; Optics; Physics; Atomic physics","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":[0.0009524903,0.0002868488,0.0003255429,0.00008022309,0.0005543927,0.0001887286,0.0006004756,0.0001069464,0.0008269223],"category_scores_gemma":[0.0001249758,0.0001633064,0.0000893352,0.0002441237,0.0004314788,0.0001902106,0.0002180291,0.0001970928,0.0002361826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005876483,"about_ca_system_score_gemma":0.00004314487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008940342,"about_ca_topic_score_gemma":0.00006541306,"domain_scores_codex":[0.9977428,0.0003625393,0.0004696159,0.0005202368,0.0003279898,0.0005768353],"domain_scores_gemma":[0.9989779,0.0001098452,0.000228539,0.0005028958,0.00006631682,0.0001145123],"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":[0.0001080085,0.00007516885,0.008056784,0.00001068101,0.000007202209,0.00002329889,0.00170909,0.00003027856,0.9867094,0.0009838134,0.00003672002,0.002249616],"study_design_scores_gemma":[0.0002759927,0.0000715904,0.004327953,0.0001451312,0.00002809478,0.00004588622,0.0005354804,0.009320942,0.9823783,0.001203923,0.00132662,0.0003400926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942451,0.001612486,0.001377209,0.0001502151,0.00122938,0.0003403529,0.000004644881,0.0001655566,0.0008751053],"genre_scores_gemma":[0.9969123,0.00003588238,0.002421638,0.000313715,0.0002108737,0.00002356562,0.000002354186,0.00003415724,0.00004554038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009290664,"threshold_uncertainty_score":0.905422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0748999505661646,"score_gpt":0.2665917205171588,"score_spread":0.1916917699509942,"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."}}