{"id":"W4214529624","doi":"10.1007/s13346-022-01133-6","title":"Fused deposition modeling three-dimensional printing of flexible polyurethane intravaginal rings with controlled tunable release profiles for multiple active drugs","year":2022,"lang":"en","type":"article","venue":"Drug Delivery and Translational Research","topic":"Sexual function and dysfunction studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Fused deposition modeling; 3D printing; Materials science; PLGA; Deposition (geology); Scanning electron microscope; Drug delivery; Biomedical engineering; Polyurethane; Nanotechnology; Chemical engineering; Chemistry; Nanoparticle; Composite material","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":[0.0001970031,0.000239776,0.0001685926,0.0001418205,0.00009211661,0.0003349265,0.0002909207,0.0004047509,0.0003853859],"category_scores_gemma":[0.0002159953,0.000193825,0.0004392113,0.00009545805,0.0001594441,0.0002006285,0.0002199874,0.000229911,0.000170561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003513936,"about_ca_system_score_gemma":0.0001945601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005823647,"about_ca_topic_score_gemma":0.0007170161,"domain_scores_codex":[0.9998525,0.00001567916,0.00001191996,0.00002965448,0.00007024542,0.00001993402],"domain_scores_gemma":[0.999877,0.00003186534,0.00004680174,0.00002213048,0.0000136847,0.000008428479],"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":[0.00002700183,0.00001877312,0.0002219112,0.00005984473,0.00000692267,0.0001093495,0.00003443309,0.01145387,0.9830767,0.000375945,0.00004361594,0.004571715],"study_design_scores_gemma":[0.000009357705,0.0001501651,0.001043589,0.000006518591,0.00001573529,0.0002529981,0.00001298858,0.07627806,0.9198683,0.00008153389,0.002258167,0.00002272841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8790985,0.001189745,0.116099,0.00007497666,0.00004155411,0.00005735413,0.0002078221,0.0003504663,0.002880445],"genre_scores_gemma":[0.9297296,0.0005165153,0.06834969,0.00001868254,0.000006196165,0.00003549958,0.0000993032,0.00003261277,0.001211965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005823647,"threshold_uncertainty_score":0.002549589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05821567755625799,"score_gpt":0.3204575560120881,"score_spread":0.2622418784558301,"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."}}