{"id":"W3164721819","doi":"10.1038/s41551-021-00722-z","title":"Suppression of the fibrotic encapsulation of silicone implants by inhibiting the mechanical activation of pro-fibrotic TGF-β","year":2021,"lang":"en","type":"article","venue":"Nature Biomedical Engineering","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":155,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Mitacs; Government of Canada; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Fibrosis; Silicone; Transforming growth factor; Encapsulation (networking); Chemistry; Cell biology; Cancer research; Biomedical engineering; Medicine; Pathology; Biology; Computer science","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":[0.0001381679,0.00008044593,0.0001192932,0.0000253301,0.00002814592,0.000003898038,0.0001241051,0.000257547,0.00001819509],"category_scores_gemma":[0.0005734399,0.00005210619,0.00008965821,0.0001854695,0.00002791338,0.000005019849,0.0001094922,0.0002420594,1.390951e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009845684,"about_ca_system_score_gemma":0.00004853232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005305681,"about_ca_topic_score_gemma":6.050585e-7,"domain_scores_codex":[0.9992402,0.00003286028,0.0002615118,0.0001370277,0.0002264143,0.0001020182],"domain_scores_gemma":[0.9994912,0.00004917203,0.000129815,0.0001958345,0.0001025669,0.00003140784],"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":[0.00001222542,0.00004551628,0.00001160829,0.00008218501,0.00002677604,1.914151e-7,0.00001935665,0.0001426682,0.9986128,0.0002617092,0.0003198184,0.0004652127],"study_design_scores_gemma":[0.0001904518,0.00005573545,0.0002159295,0.0001792096,0.00001486242,0.00001080504,0.00003481617,0.008675205,0.9890543,0.00002749635,0.001490697,0.00005052092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875637,0.0004299232,0.01111603,0.0003427277,0.0003295614,0.0001534388,0.00003707686,0.000004954641,0.00002261491],"genre_scores_gemma":[0.9994308,0.00001945177,0.0002828224,0.00002211325,0.00007413259,0.00000441358,0.0001285239,0.000009862662,0.00002792988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01186708,"threshold_uncertainty_score":0.2124829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003592218218966048,"score_gpt":0.2184556057499789,"score_spread":0.2148633875310128,"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."}}