{"id":"W4310333030","doi":"10.1039/d2nr03905b","title":"Anti-KIT DNA aptamer-conjugated porous silicon nanoparticles for the targeted detection of gastrointestinal stromal tumors","year":2022,"lang":"en","type":"article","venue":"Nanoscale","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Wireless Communications, University of California, San Diego; National Center for Advancing Translational Sciences; NIH Clinical Center; National Science Foundation; National Institutes of Health; National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; University of California, San Diego","keywords":"Conjugated system; Aptamer; DNA; Porous silicon; Stromal cell; Nanotechnology; Nanoparticle; Materials science; Silicon; Cancer research; Biophysics; Chemistry; Molecular biology; Medicine; Biology; Biochemistry; Optoelectronics; Polymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001564062,0.0001754432,0.0001039846,0.0001732825,0.0000593192,0.0001273409,0.0001599244,0.0002170594,0.0007061485],"category_scores_gemma":[0.0001155487,0.000158477,0.0001164784,0.00007998008,0.0001323705,0.0001447851,0.0001070657,0.0001578874,0.0001484549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811346,"about_ca_system_score_gemma":0.0001553459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004608143,"about_ca_topic_score_gemma":0.001265542,"domain_scores_codex":[0.9999295,0.00001236079,0.000004339955,0.00001769767,0.00002502619,0.00001106517],"domain_scores_gemma":[0.9999392,0.00002003249,0.00001497729,0.000004308498,0.000009644244,0.00001172341],"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":[0.00001963969,0.000004191969,0.0000544856,0.00001127922,0.000001972857,0.00001168493,0.000003462171,0.00008660879,0.9991016,0.00002359635,0.00001314383,0.0006682261],"study_design_scores_gemma":[0.00000467284,0.00008788275,0.001142993,0.000001962593,0.000005590545,0.0001177794,0.000005726009,0.003538481,0.9947108,0.00001616885,0.0003653558,0.000002650359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732693,0.001024582,0.02375993,0.00008235707,0.00002423245,0.00003311223,0.0001611531,0.0001508924,0.001494355],"genre_scores_gemma":[0.9810681,0.0004787761,0.01636204,0.00003965672,0.000005648827,0.00002468102,0.0001967503,0.00001581626,0.001808567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007061485,"threshold_uncertainty_score":0.002362251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052147708934577,"score_gpt":0.22361568074284,"score_spread":0.2130942036534942,"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."}}