{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005414764,0.0004024095,0.0004528918,0.0002275557,0.0002523253,0.0006456844,0.0002671507,0.0005524776,0.0007483246],"category_scores_gemma":[0.0002846037,0.0001967062,0.0003940901,0.0001211028,0.000319682,0.0005055153,0.0002067453,0.0006256886,0.0004017596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444568,"about_ca_system_score_gemma":0.0004215257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369591,"about_ca_topic_score_gemma":0.001272423,"domain_scores_codex":[0.9995388,0.00009209743,0.00002958781,0.0001509559,0.00008871676,0.00009992602],"domain_scores_gemma":[0.9997895,0.00007101477,0.00004079692,0.00003096393,0.0000477186,0.00002002873],"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":[0.0001579785,0.0000282093,0.0002624607,0.00004246187,0.000009519701,0.00005842434,0.00005450719,0.00008406576,0.9965194,0.000134504,0.0000505271,0.002597811],"study_design_scores_gemma":[0.00001555307,0.0005101281,0.002307814,0.000005455552,0.00001931184,0.0001994731,0.00003148694,0.002061051,0.9937423,0.00006568096,0.00103576,0.000006024635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665977,0.003612959,0.02695862,0.0002100667,0.00009028172,0.00009639187,0.000250419,0.0002670206,0.001916418],"genre_scores_gemma":[0.9884058,0.001116871,0.006318518,0.00006339112,0.0000272297,0.00006244435,0.0002492384,0.00004919502,0.003707288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001369591,"threshold_uncertainty_score":0.00322479,"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."}}