{"id":"W3006327886","doi":"10.1016/j.drudis.2020.02.005","title":"Zeolites in drug delivery: Progress, challenges and opportunities","year":2020,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":191,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Drug delivery; Nanotechnology; Drug; Microporous material; Targeted drug delivery; Computer science; Medicine; Pharmacology; Engineering; Materials science; Chemical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008745774,0.0006809651,0.002413963,0.0002015271,0.00009454341,0.0005287122,0.000610169,0.0001767854,0.0002630688],"category_scores_gemma":[0.00003615173,0.0005204951,0.000269589,0.000128463,0.0002961181,0.0007449983,0.0005599704,0.0002176848,0.000170378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009053394,"about_ca_system_score_gemma":0.0003761428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001443639,"about_ca_topic_score_gemma":0.0001435529,"domain_scores_codex":[0.9966182,0.000538439,0.0009048725,0.0009595719,0.000399696,0.0005792086],"domain_scores_gemma":[0.9985186,0.000178925,0.0005049881,0.0005600483,0.0000339663,0.0002034406],"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":[0.00001587092,0.00009599029,0.000003098313,0.0202182,0.00006397604,0.0003209656,0.001662869,1.391498e-7,0.00002212206,0.004577226,0.001595309,0.9714242],"study_design_scores_gemma":[0.0001322684,0.00001904828,0.000005649157,0.005501244,0.0003154517,0.00002680323,0.000600882,8.718205e-7,0.000144603,0.0004442476,0.9921863,0.0006226259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003510581,0.9929205,2.924599e-7,0.0005257689,0.0004841717,0.0005947198,0.0005141614,0.0001002857,0.001349589],"genre_scores_gemma":[0.001193791,0.9965256,0.00004661379,0.0000874659,0.000315197,0.000271293,0.0003190496,0.00008529558,0.001155632],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.990591,"threshold_uncertainty_score":0.9997247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531376578461944,"score_gpt":0.2812572880581596,"score_spread":0.2259435222735401,"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."}}