{"id":"W3189990959","doi":"10.1021/acsami.1c10618","title":"Uptake of Upconverting Nanoparticles by Breast Cancer Cells: Surface Coating versus the Protein Corona","year":2021,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Lietuvos Mokslo Taryba; Canada Foundation for Innovation","keywords":"Endocytosis; Biocompatibility; Materials science; Nanoparticle; Nanotechnology; Drug delivery; Biophysics; Nanomedicine; Cancer cell; Surface modification; Protein adsorption; Endocytic cycle; Phospholipid; Cell; Cancer; Chemistry; Biochemistry; Biology; Polymer","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009185741,0.0003339393,0.0005035179,0.00002153566,0.0002439423,0.0003032925,0.0005922368,0.0001065729,0.002267125],"category_scores_gemma":[0.00006346547,0.0002609344,0.00002895508,0.0002192272,0.0003172297,0.0002434882,0.000426727,0.0001129373,0.0002541722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009479157,"about_ca_system_score_gemma":0.0001786929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005237872,"about_ca_topic_score_gemma":0.00007318147,"domain_scores_codex":[0.9971547,0.0002140339,0.0009268498,0.0005943908,0.0004806962,0.0006294033],"domain_scores_gemma":[0.9983099,0.000252509,0.0005514172,0.0005843629,0.0002198449,0.00008200983],"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":[0.0006589105,0.0001140458,0.00001645937,0.0001142464,0.00004017202,0.000004913602,0.0005458206,0.0004184514,0.9964471,0.0002780787,0.0006445455,0.0007172357],"study_design_scores_gemma":[0.00100213,0.00005005299,0.00004114445,0.0001280999,0.00006409028,0.000005121263,0.001527399,0.00001086366,0.996731,0.00006450127,0.00008690562,0.0002887054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964033,0.0006214151,0.000007390304,0.0005085254,0.001049789,0.0005203539,0.000634179,0.0001276546,0.0001274387],"genre_scores_gemma":[0.9989595,0.00003582285,0.0004718485,0.0001230564,0.00009651154,0.0001272686,0.00001185533,0.00005467497,0.0001194138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002556294,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576626089113022,"score_gpt":0.2423483905189127,"score_spread":0.2265821296277825,"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."}}