{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004450807,0.0001173156,0.0004063047,0.0001322424,0.00002678276,0.000002807982,0.0001622885,0.0001639319,0.000001679128],"category_scores_gemma":[0.0002105246,0.0001060053,0.0001359769,0.0001234335,0.0001275586,0.000003940188,0.00001373605,0.0001433045,0.000001416512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003289159,"about_ca_system_score_gemma":0.0001661226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001032537,"about_ca_topic_score_gemma":0.0001156115,"domain_scores_codex":[0.9989272,0.0001969072,0.0004399609,0.0001483651,0.00006134564,0.0002261981],"domain_scores_gemma":[0.9991447,0.00006236445,0.0002984495,0.0002184839,0.0001318687,0.0001441774],"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":[0.0002149546,0.000002599471,0.0005179568,0.00001628556,0.0000308415,0.000004728793,0.00001814782,0.0005540077,0.9956638,0.00001214897,0.0001369399,0.00282758],"study_design_scores_gemma":[0.0005163989,0.0009690037,0.0007406183,0.00004953093,0.00001476066,0.00001869836,0.00001307922,0.00002938897,0.9896446,0.00003663489,0.007877288,0.00008994573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919856,0.0004864818,0.007108993,0.00004794391,0.0001397393,0.0001091171,0.00002647532,0.000002556589,0.00009312596],"genre_scores_gemma":[0.9985358,0.00006912972,0.001121432,0.00005947294,0.0001661857,0.000002979682,0.00002411003,0.0000141421,0.000006766048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007740349,"threshold_uncertainty_score":0.4322771,"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."}}