{"id":"W2921550223","doi":"10.3390/pharmaceutics11030129","title":"Challenges and Recent Progress in Oral Drug Delivery Systems for Biopharmaceuticals","year":2019,"lang":"en","type":"review","venue":"Pharmaceutics","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":879,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Drug delivery; Risk analysis (engineering); Oral route; Computer science; Drug administration; Delivery system; Medicine; Pharmacology; Nanotechnology","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":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003587381,0.001591297,0.004211979,0.0008231142,0.000222384,0.0001034192,0.001027424,0.001536382,0.00009521948],"category_scores_gemma":[0.0001262029,0.001484699,0.0005526051,0.000586912,0.0005076366,0.0003478619,0.0005257742,0.002912256,0.0004795494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007622258,"about_ca_system_score_gemma":0.000556201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005254944,"about_ca_topic_score_gemma":0.0000164095,"domain_scores_codex":[0.9908897,0.002490818,0.002279498,0.001818984,0.0004905848,0.002030427],"domain_scores_gemma":[0.9939497,0.002968937,0.001101916,0.0007524558,0.0003713531,0.0008556767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002455733,0.0004182686,0.00006713419,0.06100213,0.0008519309,0.0001001077,0.0003806474,0.00006432076,0.000003064874,0.0006516684,0.001372074,0.9348431],"study_design_scores_gemma":[0.003314992,0.00008938133,0.000002488644,0.004444012,0.003271043,0.0002032546,0.0001940479,0.005362912,0.00002793818,0.00004541848,0.9815704,0.001474094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005852258,0.9795049,0.0000158199,0.0002728396,0.007956651,0.01010338,0.0007940992,0.0002752884,0.001018462],"genre_scores_gemma":[0.0002041251,0.9941834,0.0002089539,0.0003866975,0.0008694766,0.002584286,0.0002649957,0.0003410723,0.0009569481],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9801983,"threshold_uncertainty_score":0.9997599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4559354999229223,"score_gpt":0.5393409093546985,"score_spread":0.08340540943177621,"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."}}