{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003455084,0.0001552992,0.0001950718,0.0001205024,0.0008587601,0.0001514692,0.0004099198,0.0000537487,4.949333e-7],"category_scores_gemma":[0.001620988,0.0001359957,0.0001033698,0.0002211584,0.0009533465,0.00003095818,0.0002107868,0.00004829407,4.341962e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001756808,"about_ca_system_score_gemma":0.00003834423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002253641,"about_ca_topic_score_gemma":0.00007909521,"domain_scores_codex":[0.998657,0.0000106974,0.0001724256,0.0006771885,0.0001501684,0.0003324972],"domain_scores_gemma":[0.998714,0.00003800547,0.0001902764,0.0007506314,0.0001952924,0.0001117669],"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":[0.00001816776,0.00002281589,0.007123779,0.000007220303,0.0000336615,0.000001618282,0.00001033085,0.00003333577,0.9743677,0.00002977088,0.00001100471,0.01834064],"study_design_scores_gemma":[0.0002707053,0.00008945365,0.009041308,0.00001426207,0.0001129761,0.000003819237,0.00003432176,0.003869887,0.9837082,0.0001073416,0.002531067,0.0002166837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720704,0.0003868245,0.02678506,0.0002605379,0.00007345311,0.0002918501,0.00001843209,0.00003047324,0.0000829998],"genre_scores_gemma":[0.9699802,0.0002729984,0.02939587,0.0001048424,0.00004913275,0.00002723124,0.0000226293,0.000009769955,0.0001373707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01812395,"threshold_uncertainty_score":0.6604975,"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."}}