{"id":"W4292600918","doi":"10.1039/d1tb02121d","title":"Rapid synthesis of drug-encapsulated films by evaporation-induced self-assembly for highly-controlled drug release from biomaterial surfaces","year":2022,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research; National Institutes of Health; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Antibiotics; Biomaterial; Drug; Implant; Drug delivery; Materials science; Medicine; Antimicrobial; Biomedical engineering; Nanotechnology; Surgery; Pharmacology; Microbiology; Biology","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":[0.000127056,0.0003006748,0.000163983,0.0001577804,0.0001242048,0.0001938518,0.0001419643,0.0002629263,0.0007071741],"category_scores_gemma":[0.0001553188,0.0002519313,0.0002228322,0.00008669717,0.0001201346,0.000213709,0.000157516,0.0003157471,0.0002724963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001456576,"about_ca_system_score_gemma":0.000107541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001708961,"about_ca_topic_score_gemma":0.0006001911,"domain_scores_codex":[0.9999251,0.000006883918,0.000007851567,0.00001912657,0.00002675268,0.00001426512],"domain_scores_gemma":[0.9999428,0.00001630325,0.00001617233,0.000005240609,0.000008352629,0.00001111152],"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":[0.000005451168,0.000004152317,0.000008000389,0.00001101854,0.000001200573,0.000007806412,0.000003858268,0.00001691897,0.9995441,0.00002045898,0.000009050028,0.0003680657],"study_design_scores_gemma":[0.000005210233,0.00003793163,0.0003142489,0.000001641253,0.000003713542,0.0000241833,0.000002927267,0.0004276484,0.9986435,0.000006983068,0.0005295476,0.000002511051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718295,0.002252401,0.02231941,0.00007917224,0.00007635749,0.0001197509,0.0002594923,0.0002399884,0.002823867],"genre_scores_gemma":[0.9751561,0.001026928,0.02102681,0.00004516902,0.00001393777,0.00007766602,0.0002103009,0.00006178785,0.00238131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007071741,"threshold_uncertainty_score":0.002365768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006350821434600707,"score_gpt":0.2070577815567223,"score_spread":0.2007069601221216,"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."}}