{"id":"W2977549946","doi":"10.1371/journal.pone.0223339","title":"In vivo clearance of nanoparticles by transcytosis across alveolar epithelial cells","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Alberta Innovates; Canadian Institutes of Health Research; U.S. Department of Veterans Affairs; National Science Foundation","keywords":"Transcytosis; In vivo; Intravital microscopy; Lung; Nanoparticle; Alveolar Epithelium; Epithelium; A549 cell; Chemistry; Biophysics; Aerosolization; Cell biology; Endocytosis; Pathology; Inhalation; Materials science; Biology; Nanotechnology; In vitro; Cell; Anatomy; Medicine; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001445733,0.00008017098,0.0002732367,0.00003790158,0.00001917174,0.000004768209,0.00005688807,0.00007504482,0.0006598668],"category_scores_gemma":[0.00001256976,0.00007191173,0.0000581398,0.0001363239,0.00005322315,0.00008427533,0.000009898905,0.0001122671,0.0002644657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002008304,"about_ca_system_score_gemma":0.00002394362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002145024,"about_ca_topic_score_gemma":0.000005191339,"domain_scores_codex":[0.9991146,0.00003582727,0.0002461296,0.0001522041,0.0002667017,0.0001844798],"domain_scores_gemma":[0.9996223,0.00002959275,0.00005265559,0.0001772118,0.00006082789,0.000057438],"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":[0.0002647566,0.001119823,0.005930304,0.0002102716,0.00005612768,0.000004410027,0.0007429607,0.000008967148,0.9912838,0.000009892603,0.0002638888,0.0001048335],"study_design_scores_gemma":[0.00172376,0.0001698295,0.001580659,0.0001696965,0.00004170287,5.791761e-7,0.0001040244,0.0002557493,0.9949469,0.00000329075,0.0009258818,0.00007793017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983836,0.0002869438,0.000002705336,0.0003246909,0.00004699479,0.0002869119,0.00005862665,0.00001942735,0.000590051],"genre_scores_gemma":[0.9969953,0.00006160121,0.0001251708,0.0008438676,0.00003856292,0.000005956806,0.000001646041,0.0000152904,0.00191262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004349645,"threshold_uncertainty_score":0.7225079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965063962317903,"score_gpt":0.2409515760608027,"score_spread":0.2213009364376237,"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."}}