{"id":"W3021822282","doi":"10.1002/adma.201906274","title":"Flow Rate Affects Nanoparticle Uptake into Endothelial Cells","year":2020,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society","keywords":"Nanoparticle; Materials science; Endothelial stem cell; In vivo; Biophysics; Nanotechnology; Microfluidics; In vitro; Chemistry; Biochemistry; Biology","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":[0.0005563484,0.0003329511,0.0002597604,0.0001905621,0.0001851533,0.0005751851,0.0002145825,0.0004534744,0.001155651],"category_scores_gemma":[0.0007788872,0.0002317235,0.0002371593,0.0001322428,0.0001674222,0.0004481129,0.0001489018,0.0004639348,0.0002260502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004059008,"about_ca_system_score_gemma":0.0002507553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265857,"about_ca_topic_score_gemma":0.000944466,"domain_scores_codex":[0.9996939,0.00007104971,0.00003251447,0.00007023408,0.00005664506,0.000075687],"domain_scores_gemma":[0.9993685,0.0003931064,0.00010673,0.00002649977,0.00007685718,0.00002836213],"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":[0.0001686264,0.00007262116,0.0005092258,0.00004456103,0.000005840398,0.00002963358,0.00003124851,0.0001517421,0.9966764,0.00008935596,0.0000643656,0.002156357],"study_design_scores_gemma":[0.00000933564,0.0002650775,0.002318713,0.000004603021,0.00001301518,0.00002784148,0.00001405843,0.001536757,0.9950965,0.00002164611,0.0006860833,0.000006198485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937721,0.001410897,0.002840535,0.0001039602,0.00008135627,0.00003108414,0.0001492998,0.00005082704,0.001559874],"genre_scores_gemma":[0.993495,0.001254285,0.002826632,0.0001193316,0.00002737035,0.00005105711,0.0001982992,0.00002658419,0.002001441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001265857,"threshold_uncertainty_score":0.003866017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130332366712321,"score_gpt":0.2316048193497355,"score_spread":0.2203014956826123,"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."}}