{"id":"W2777941416","doi":"10.1002/advs.201700548","title":"Multiplex Photoluminescent Silicon Nanoprobe for Diagnostic Bioimaging and Intracellular Analysis","year":2017,"lang":"en","type":"article","venue":"Advanced Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanoprobe; Multiplex; HeLa; Fluorescence; Photoluminescence; Nanotechnology; Materials science; Cytoplasm; Quantum dot; Biophysics; Fluorescence microscope; Molecular probe; Chemistry; Cell; Optoelectronics; Biology; Nanoparticle; Bioinformatics; DNA; 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":[0.0005230276,0.0005698011,0.0002881281,0.0004118746,0.000191987,0.0003536462,0.0004525632,0.0007127282,0.001167885],"category_scores_gemma":[0.0003041156,0.0003551996,0.0002572312,0.0001451014,0.0003174104,0.0005822606,0.0003705446,0.0003845754,0.0005203486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166525,"about_ca_system_score_gemma":0.00040547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002461223,"about_ca_topic_score_gemma":0.001148025,"domain_scores_codex":[0.9996635,0.00004463843,0.00001961217,0.0001039208,0.0001413317,0.00002693078],"domain_scores_gemma":[0.999791,0.00007063299,0.00003745942,0.00002573706,0.00004827375,0.00002693766],"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":[0.0000181213,0.000006712156,0.00007122612,0.00003319248,0.000004332016,0.0000293019,0.000008271997,0.0001290173,0.9961948,0.0002272571,0.00005895457,0.00321875],"study_design_scores_gemma":[0.000005784129,0.00005184368,0.0003262089,0.000003083531,0.000007333865,0.000211539,0.000007494369,0.004172385,0.9933055,0.00008509943,0.001815586,0.000008086716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4912441,0.006176387,0.4943071,0.0004976395,0.0002571834,0.0003206335,0.0007445141,0.001370882,0.005081667],"genre_scores_gemma":[0.5136338,0.001793645,0.4773803,0.0002969895,0.00004543236,0.0002504095,0.0005094678,0.00007664463,0.006013348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001167885,"threshold_uncertainty_score":0.003906965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006951144254948,"score_gpt":0.2999777838292162,"score_spread":0.2899082723866668,"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."}}