{"id":"W2319702481","doi":"10.1016/j.cjca.2014.07.360","title":"ENHANCING DELIVERY OF GADOLINIUM-LOADED, TARGETED NANOPARTICLES: EFFECT OF STERIC HINDRANCE ON FOLATE RECEPTOR-MEDIATED CELLULAR UPTAKE IN VITRO","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Folate receptor; Biophysics; Flow cytometry; Confocal microscopy; In vitro; Internalization; Drug delivery; Nanoparticle; Receptor; Fluorescence microscope; Medicine; Endocytosis; Gadolinium; Nanotechnology; Cell biology; Materials science; Chemistry; Biochemistry; Fluorescence; Cancer cell; Immunology; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004711158,0.0003600694,0.0003750152,0.0001203963,0.000162322,0.0002611328,0.0002746073,0.0004834247,0.0006065238],"category_scores_gemma":[0.0004908793,0.0002278979,0.000297191,0.0001544972,0.0001875498,0.0002983339,0.0001912549,0.0003605311,0.0002544988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004799613,"about_ca_system_score_gemma":0.0003025105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002394071,"about_ca_topic_score_gemma":0.002714724,"domain_scores_codex":[0.9997538,0.00005291473,0.00002420821,0.00006091262,0.00003876597,0.00006946237],"domain_scores_gemma":[0.9997728,0.00009881079,0.00004322524,0.0000186098,0.00004158779,0.00002483131],"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":[0.0001695458,0.00002348913,0.00004181177,0.00004123128,0.000005630815,0.00003532949,0.0000331571,0.0000965727,0.9987925,0.00003654293,0.00002439117,0.0006996861],"study_design_scores_gemma":[0.00001042181,0.0001897988,0.0002296204,0.000001817322,0.00001351063,0.00003775196,0.000005920359,0.0007387494,0.99842,0.000006778411,0.0003420242,0.000003482943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959408,0.0009114445,0.002241291,0.0000555352,0.0000191595,0.00002500896,0.00008447079,0.00004340328,0.0006789449],"genre_scores_gemma":[0.9942107,0.0005062839,0.003546793,0.00004675502,0.000009709365,0.00002637764,0.0001544773,0.00002646283,0.00147253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002394071,"threshold_uncertainty_score":0.004760265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005245216340774971,"score_gpt":0.2149841376503635,"score_spread":0.2097389213095885,"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."}}