{"id":"W2266913154","doi":"10.2147/ijn.s94370","title":"Toward a general physiologically-based pharmacokinetic model for intravenously injected nanoparticles","year":2016,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Vetenskapsrådet; European Commission; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; U.S. Environmental Protection Agency","keywords":"Physiologically based pharmacokinetic modelling; Biodistribution; Pharmacokinetics; Context (archaeology); Nanoparticle; Polyacrylamide; Pharmacology; Chemistry; Nanomedicine; Biophysics; Materials science; Nanotechnology; Biological system; In vitro; Biochemistry; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006058348,0.0006641276,0.0008308725,0.0004659489,0.0002382508,0.0008480161,0.001245287,0.001761734,0.000972461],"category_scores_gemma":[0.001240232,0.0004495025,0.001273801,0.0004027715,0.0004216559,0.0009158467,0.0005978941,0.001245264,0.0007307931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009330684,"about_ca_system_score_gemma":0.001236275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006133631,"about_ca_topic_score_gemma":0.003101415,"domain_scores_codex":[0.9997813,0.00006588806,0.00001608027,0.00005859556,0.00005725185,0.00002089662],"domain_scores_gemma":[0.9997482,0.000111016,0.00003992127,0.00001631057,0.00007329828,0.00001131143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004132099,0.00003793332,0.0005001547,0.0001136622,0.0000209684,0.0001997967,0.00009517701,0.9580722,0.02500224,0.008407901,0.0004851368,0.007023467],"study_design_scores_gemma":[0.0000057388,0.00002395519,0.0001027151,0.000007447013,0.000008167477,0.00004669713,0.000006954465,0.9954307,0.001329722,0.001631381,0.001397963,0.000008524698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01513962,0.0004619448,0.980002,0.0003777539,0.00003503831,0.0001415492,0.0002485251,0.0003378906,0.003255593],"genre_scores_gemma":[0.5602757,0.004571114,0.4023815,0.001097633,0.0001704801,0.002291652,0.001048015,0.0006092656,0.02755476],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006133631,"threshold_uncertainty_score":0.01219589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268514656247139,"score_gpt":0.2941109328338531,"score_spread":0.2614257862713817,"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."}}