{"id":"W1974930666","doi":"10.1038/mt.2014.115","title":"Anti-microRNA-378a Enhances Wound Healing Process by Upregulating Integrin Beta-3 and Vimentin","year":2014,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Vimentin; microRNA; Wound healing; Integrin; Cancer research; Chemistry; Medicine; Immunology; Gene; Immunohistochemistry; Cell; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0004160095,0.0001775013,0.0002247048,0.0000319586,0.0002065579,0.0002399308,0.0002134547,0.00006883962,0.000110773],"category_scores_gemma":[0.0000103296,0.000146898,0.0000380826,0.0001088014,0.0001076738,0.00007537359,0.00003356567,0.00004785361,0.00002384582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001208812,"about_ca_system_score_gemma":0.00001649281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005984997,"about_ca_topic_score_gemma":0.000002577669,"domain_scores_codex":[0.9987946,0.00009720004,0.0002617599,0.0003983636,0.0001738314,0.0002742116],"domain_scores_gemma":[0.9994563,0.00003136354,0.0001413406,0.0002537881,0.00004834357,0.00006880573],"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":[0.00001110246,0.00004146208,0.0001449975,0.00001828869,0.000008530519,5.832648e-7,0.0001762313,0.00001225561,0.9959894,0.0003276655,0.00004301653,0.003226452],"study_design_scores_gemma":[0.0003744143,0.00005495975,0.0003178843,0.00003252866,0.000006729441,0.000003639004,0.00004705191,0.0001182076,0.9955536,0.0008668128,0.002436657,0.0001875221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912017,0.000689231,0.006779922,0.0007592965,0.00009985663,0.000268169,0.00001949364,0.00009122993,0.00009112502],"genre_scores_gemma":[0.9974465,0.00003970652,0.001699932,0.0006072054,0.00006037369,0.00006758333,0.00002384675,0.00002606164,0.00002879701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006244817,"threshold_uncertainty_score":0.5990325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008535175147077,"score_gpt":0.2678736863920891,"score_spread":0.2577883346406183,"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."}}