{"id":"W3193392812","doi":"10.1002/adfm.202106061","title":"Superswelling Microneedle Arrays for Dermal Interstitial Fluid (Prote)Omics","year":2021,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Interstitial fluid; Stratum corneum; Biomedical engineering; Materials science; Proteomics; Biological fluids; Self-healing hydrogels; Extraction (chemistry); Chromatography; Chemistry; Pathology; Biochemistry; Medicine","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000315907,0.0003018095,0.000360863,0.00007055319,0.0003976565,0.0000412597,0.0001731664,0.0002647826,0.005080768],"category_scores_gemma":[0.0001350801,0.0003390282,0.0001396762,0.0001115486,0.0001591141,0.0003447323,0.00007776972,0.0002768138,0.0002120558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368829,"about_ca_system_score_gemma":0.0001304674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003578186,"about_ca_topic_score_gemma":0.000004602109,"domain_scores_codex":[0.9980133,0.0001818494,0.0005389856,0.0005319476,0.0001642784,0.0005696579],"domain_scores_gemma":[0.998842,0.0003954729,0.000121298,0.0002047622,0.0002860443,0.0001504348],"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":[0.002174748,0.0001950636,0.00004971397,0.0001235521,0.0001962379,0.00003618396,0.0001220923,0.01965976,0.9706674,0.002661434,0.001273477,0.002840323],"study_design_scores_gemma":[0.0026433,0.00009422132,0.00005302094,0.00002458797,0.0001109464,0.00006690497,0.0002185924,0.0003621783,0.8766139,0.001552963,0.1179313,0.0003280125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7103689,0.0008554878,0.2677901,0.0008601761,0.01623183,0.001012511,0.001792771,0.0001858506,0.000902309],"genre_scores_gemma":[0.9701837,0.0004384894,0.01968859,0.004072923,0.001671566,0.0004356711,0.001294656,0.00008102928,0.002133373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2598148,"threshold_uncertainty_score":0.9999062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09997498286662043,"score_gpt":0.3897325393672832,"score_spread":0.2897575565006628,"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."}}