{"id":"W4415472607","doi":"10.1021/acssensors.5c00957","title":"Gut-on-a-Chip-Based Real-Time miRNA-21 Monitoring and Anti-Inflammatory Drug Evaluation","year":2025,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Qilu University of Technology; Shandong Academy of Sciences; Natural Science Foundation of Shandong Province; Youth Innovation Team Project for Talent Introduction and Cultivation in Universities of Shandong Province; National Natural Science Foundation of China; Key Technology Research and Development Program of Shandong; Jinan Science and Technology Bureau","keywords":"Biomarker; Drug; Limiting; Therapeutic drug monitoring; Inflammatory bowel disease; Inflammation; Drug development; In vitro","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003425135,0.0001750245,0.000163867,0.0001082243,0.0001266417,0.00002884588,0.00008820187,0.000136257,0.000001564352],"category_scores_gemma":[0.00013146,0.0001605319,0.00006963535,0.0001294175,0.00008520114,0.000003778936,0.00004578957,0.00008414872,0.000004917415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002901908,"about_ca_system_score_gemma":0.0000584148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001057579,"about_ca_topic_score_gemma":0.00000300909,"domain_scores_codex":[0.9989285,0.0001149451,0.0001956125,0.0003921833,0.000180161,0.0001885466],"domain_scores_gemma":[0.9993051,0.00003517068,0.00008551389,0.0003782347,0.0001486476,0.00004728969],"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":[0.00004154326,0.00002584231,0.003701531,0.00001309908,0.00004869693,0.000003093849,0.00001143342,0.0001515774,0.9911219,0.0000132776,0.0008463028,0.004021668],"study_design_scores_gemma":[0.0003374403,0.00004377179,0.008517501,0.00006748692,0.00007408517,0.000001754114,0.00004542163,0.0005438146,0.988418,0.00007215227,0.001694215,0.0001844018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976668,0.0001475673,0.00003562172,0.0002967204,0.0000841846,0.0001751437,0.000005544444,0.00006724357,0.001521128],"genre_scores_gemma":[0.996785,0.0002662525,0.001543931,0.0000954219,0.0001298035,0.00000839132,0.00005091327,0.00001596397,0.001104286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00481597,"threshold_uncertainty_score":0.6546301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008869295031158518,"score_gpt":0.2888645258274459,"score_spread":0.2799952307962874,"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."}}