{"id":"W3159901683","doi":"10.1016/j.jconrel.2021.04.024","title":"In-vitro tumor microenvironment models containing physical and biological barriers for modelling multidrug resistance mechanisms and multidrug delivery strategies","year":2021,"lang":"en","type":"review","venue":"Journal of Controlled Release","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates Bio Solutions","keywords":"Tumor microenvironment; Multiple drug resistance; Drug delivery; Drug resistance; Epigenetics; Cancer; Biology; Cancer research; Computational biology; Tumor cells; Medicine; Nanotechnology; Genetics; Materials science","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"],"consensus_categories":[],"category_scores_codex":[0.0007435396,0.0005112588,0.004662779,0.0002417943,0.00009899322,0.00007735498,0.0001076995,0.0001839345,0.000009826145],"category_scores_gemma":[0.0001728506,0.0003452059,0.001041307,0.00009109527,0.0001230291,0.0002060529,0.00005777744,0.0007469744,3.22084e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222664,"about_ca_system_score_gemma":0.0007372237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001306188,"about_ca_topic_score_gemma":0.000003098492,"domain_scores_codex":[0.9973071,0.0002755905,0.001261576,0.0004610487,0.0003049563,0.0003896837],"domain_scores_gemma":[0.9973574,0.0007998307,0.001034699,0.0001945589,0.0001425322,0.0004709562],"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":[0.1308372,0.002762494,0.000002698729,0.05519351,0.01323872,0.01401441,0.004373689,0.02790834,0.02223676,0.006424297,0.0007296765,0.7222782],"study_design_scores_gemma":[0.1836472,0.003519286,0.000001475228,0.06842136,0.02867956,0.003174396,0.01029241,0.2073437,0.0008686113,0.006425334,0.4845569,0.003069753],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008292879,0.9738275,0.01602246,0.0001105395,0.0001433886,0.001486563,0.00009031667,0.00000609091,0.00002024358],"genre_scores_gemma":[0.03421061,0.9512507,0.01383017,0.0001529811,0.0002828967,0.00009977625,0.00001436292,0.00005350871,0.000104936],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7192084,"threshold_uncertainty_score":0.9999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0367122639037271,"score_gpt":0.298820709443693,"score_spread":0.2621084455399659,"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."}}