{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001938818,0.0003246357,0.0002021539,0.0002358606,0.0001359025,0.0002654291,0.0001888367,0.00060828,0.00105096],"category_scores_gemma":[0.0002142118,0.0001561554,0.0002024023,0.0001288568,0.0001599804,0.0003342834,0.0003033084,0.0003648581,0.0004854618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680999,"about_ca_system_score_gemma":0.0001070511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002313641,"about_ca_topic_score_gemma":0.0006565493,"domain_scores_codex":[0.9998176,0.00001933593,0.000009578407,0.00006628638,0.00006809103,0.00001922029],"domain_scores_gemma":[0.9998382,0.00005043339,0.00004131426,0.00001934813,0.00003477301,0.00001583392],"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":[0.000007326968,0.000004025321,0.00003365773,0.00002056705,0.000001380212,0.00001028443,0.000005293324,0.00004351669,0.9983449,0.00003493881,0.00003509616,0.001458977],"study_design_scores_gemma":[0.000002532649,0.00007742647,0.0007914128,0.000004756857,0.000005719345,0.00005360577,0.00001129121,0.001746177,0.995168,0.00005707692,0.002075626,0.000006582347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8193466,0.006040059,0.1653922,0.0004952288,0.0003092529,0.0002645132,0.001328451,0.001497877,0.005325837],"genre_scores_gemma":[0.8628185,0.002250865,0.1276421,0.0004401915,0.00006469271,0.0003269361,0.0005844446,0.0000872571,0.005785081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00105096,"threshold_uncertainty_score":0.00351578,"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."}}