{"id":"W3216936614","doi":"10.1101/2021.11.25.470026","title":"Mechanical activation drives tenogenic differentiation of human mesenchymal stem cells in aligned dense collagen hydrogels","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; McGill University Health Centre; Réseau de Recherche en Santé Buccodentaire et Osseuse; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Mesenchymal stem cell; Self-healing hydrogels; Extracellular matrix; Decorin; Chondrogenesis; Chemistry; Biomedical engineering; Cell biology; Type I collagen; Biophysics; Ultimate tensile strength; Materials science; Proteoglycan; Biology; Biochemistry; Composite material; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001017771,0.0002088861,0.00008004587,0.0001244085,0.00005833448,0.0001916611,0.00008457481,0.0001008902,0.0005259201],"category_scores_gemma":[0.00006905878,0.0001154587,0.00009629928,0.0001009725,0.00007731461,0.00008860329,0.0001234333,0.0001222628,0.0001408847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263238,"about_ca_system_score_gemma":0.000114058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005819192,"about_ca_topic_score_gemma":0.00129422,"domain_scores_codex":[0.9999375,0.000007451983,0.000006745024,0.00001070874,0.0000218827,0.00001559629],"domain_scores_gemma":[0.9999394,0.00001216071,0.0000189331,0.000004700059,0.000008107951,0.0000165822],"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":[0.00001403789,0.000004997503,0.00006460231,0.00001059435,8.341063e-7,0.00001684873,0.000008497074,0.0000439492,0.999455,0.00001472445,0.000007115216,0.0003587246],"study_design_scores_gemma":[0.000007321195,0.0001063597,0.002308972,0.00000456333,0.000005449275,0.00004963579,0.00002427944,0.001239194,0.9953319,0.00001414109,0.0009052268,0.000002836845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997142,0.0003812831,0.001482552,0.00001610633,0.00001435332,0.00001909004,0.0001390765,0.00001979621,0.0007856832],"genre_scores_gemma":[0.9972292,0.0003098836,0.001532946,0.00001760949,0.000006521747,0.00001678083,0.000116269,0.00000665242,0.0007641832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005819192,"threshold_uncertainty_score":0.00175941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157574879606112,"score_gpt":0.2362590454562405,"score_spread":0.2205015574956293,"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."}}