{"id":"W4311690275","doi":"10.32920/21740792.v1","title":"Multiplex Photoluminescent Silicon Nanoprobe for Diagnostic Bioimaging and Intracellular Analysis","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Nanoprobe; Multiplex; HeLa; Fluorescence; Photoluminescence; Nanotechnology; Materials science; Cytoplasm; Quantum dot; Biophysics; Fluorescence microscope; Cell; Chemistry; Optoelectronics; Biology; Bioinformatics; Nanoparticle; Optics; Biochemistry","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":[0.0005126284,0.0006109049,0.0002530133,0.0004394079,0.0001730643,0.0003809771,0.000523344,0.0006969642,0.00254298],"category_scores_gemma":[0.0002771512,0.0003278718,0.0002263582,0.0001639436,0.0003011267,0.000642425,0.0004084784,0.0003534442,0.001028588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004529069,"about_ca_system_score_gemma":0.0003202787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588505,"about_ca_topic_score_gemma":0.001041218,"domain_scores_codex":[0.9996729,0.00004070473,0.0000205265,0.0001049956,0.0001349632,0.00002595035],"domain_scores_gemma":[0.9998226,0.00005110437,0.00003113706,0.00002578935,0.00004812083,0.00002130593],"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":[0.00001830908,0.000008478197,0.00005297903,0.00003069553,0.000003776848,0.00004101527,0.000006815191,0.000114455,0.9942698,0.0002966592,0.0001373148,0.005019658],"study_design_scores_gemma":[0.000005225471,0.0000517077,0.0002886093,0.000003126342,0.000005007256,0.0002199662,0.000007064353,0.004402416,0.9917362,0.0001058633,0.003167059,0.000007660045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3538161,0.006367905,0.6244084,0.0006531308,0.0003746117,0.0004066876,0.001091309,0.002348379,0.0105334],"genre_scores_gemma":[0.4262746,0.002117153,0.5540155,0.0003796213,0.00007272075,0.0003024635,0.0007616089,0.0001393476,0.01593684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00254298,"threshold_uncertainty_score":0.008507073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158307078433905,"score_gpt":0.2793716155441186,"score_spread":0.2677885447597795,"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."}}