{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000940168,0.0003027534,0.0001653742,0.00009012281,0.0001280497,0.0002219423,0.0001745545,0.0003419143,0.001503675],"category_scores_gemma":[0.0001215602,0.00006550847,0.0001762648,0.00007319696,0.0001511047,0.0002525508,0.0001450448,0.0004028829,0.0002622866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781038,"about_ca_system_score_gemma":0.0001754937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002104297,"about_ca_topic_score_gemma":0.0004748658,"domain_scores_codex":[0.9999461,0.000005714648,0.000004089991,0.00001374399,0.00001381746,0.00001651829],"domain_scores_gemma":[0.9999405,0.0000127216,0.00002374826,0.00000525867,0.000009001626,0.000008741532],"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":[0.00002389975,0.0000113684,0.00002938968,0.0000728081,0.000002031364,0.00002575494,0.000003293631,0.00003774797,0.9970167,0.0003046489,0.0001202973,0.002352143],"study_design_scores_gemma":[0.000007659447,0.0001113438,0.0004544021,0.000005318721,0.000005358259,0.00007440089,0.000008122565,0.0003948857,0.9963921,0.00009406079,0.0024492,0.000003167958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187691,0.01175254,0.05144668,0.001427358,0.0007352096,0.0001620481,0.0005946546,0.0007677132,0.01434471],"genre_scores_gemma":[0.9799089,0.003613195,0.01138308,0.0004840782,0.00005965024,0.0001042777,0.000238639,0.00003745698,0.004170677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001503675,"threshold_uncertainty_score":0.005030274,"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."}}