{"id":"W4281561533","doi":"10.1021/acsnano.1c11016","title":"Down-Regulating Scar Formation by Microneedles Directly <i>via</i> a Mechanical Communication Pathway","year":2022,"lang":"en","type":"article","venue":"ACS Nano","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Extracellular matrix; Fibronectin; Fibroblast; Hypertrophic scar; Materials science; Biomedical engineering; Fibrosis; Focal adhesion; Wound healing; Biophysics; Cell biology; Chemistry; Signal transduction; Anatomy; Pathology; Medicine; Immunology; Biology; Biochemistry; 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":[0.0002409097,0.00010581,0.00009284996,0.00003297224,0.0004174082,0.0000307364,0.0002474501,0.00006464148,0.00007993026],"category_scores_gemma":[0.00002613949,0.000115694,0.00008045139,0.0001013197,0.00001424378,0.00001148996,0.0003445679,0.0001292743,0.0000116393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004485923,"about_ca_system_score_gemma":0.00002566454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004912356,"about_ca_topic_score_gemma":0.00002301614,"domain_scores_codex":[0.9991626,0.0001230092,0.0002161926,0.0001969854,0.0001364824,0.000164691],"domain_scores_gemma":[0.9993566,0.00001418457,0.0001206831,0.0004157187,0.00005226909,0.00004052147],"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":[0.00002093134,0.00007082882,0.00000462181,0.000003915462,0.00001719646,2.30297e-7,0.00006060033,0.00003021972,0.9863932,0.0003557911,0.008507651,0.004534816],"study_design_scores_gemma":[0.0002280582,0.0001221254,0.000001934832,0.00000418974,0.00000874787,0.00003010375,0.0001678689,0.0008051335,0.7734653,0.0001632049,0.2248861,0.0001171752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860379,0.001972738,0.009255519,0.0005105073,0.0002468535,0.0002709294,0.0001181173,0.00003881463,0.0015486],"genre_scores_gemma":[0.9964932,0.0001219202,0.0005632418,0.0003859884,0.00004342773,0.00008518649,0.001446729,0.00002086948,0.0008394973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2163785,"threshold_uncertainty_score":0.4717866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006566362227112988,"score_gpt":0.2116652211603307,"score_spread":0.2050988589332177,"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."}}