{"id":"W4384406238","doi":"10.1002/adtp.202300139","title":"Designing Regenerative Bioadhesives for Tissue Repair and Regeneration","year":2023,"lang":"en","type":"article","venue":"Advanced Therapeutics","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Regeneration (biology); Regenerative medicine; Bioadhesive; Tissue engineering; Biomedical engineering; Wound healing; Medicine; Surgery; Nanotechnology; Materials science; Drug delivery; Stem cell; Biology; Cell biology","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":[0.00005494832,0.0001190605,0.0001660569,0.00006374413,0.0001205953,0.000009961792,0.00001889892,0.00005334748,0.000003432366],"category_scores_gemma":[0.00001692001,0.00009366886,0.00004444529,0.0001492696,0.00004057924,0.00005884503,0.000009974633,0.00004537666,0.000006119739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002621742,"about_ca_system_score_gemma":0.00002596355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001281563,"about_ca_topic_score_gemma":0.000003541416,"domain_scores_codex":[0.9993887,0.00001838092,0.0001273019,0.0002194235,0.00008252473,0.0001636942],"domain_scores_gemma":[0.9995736,0.00009790147,0.00004498715,0.0001607669,0.00007446891,0.00004824229],"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":[0.0002608654,0.00002935727,0.0009791506,0.00004909799,0.0002746756,0.00002665354,0.001114659,0.00007617843,0.7263929,0.004706622,0.0001227986,0.2659671],"study_design_scores_gemma":[0.001890811,0.000802554,0.00215026,0.00003233151,0.0001941093,0.00003108416,0.000389972,0.0006168562,0.9272634,0.004103838,0.06238827,0.000136447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053162,0.01339982,0.06747309,0.007406111,0.0006588387,0.003311413,0.00006938195,0.001555024,0.0008100937],"genre_scores_gemma":[0.8921909,0.001115729,0.1024908,0.0007993559,0.000180186,0.0001444234,0.0001199372,0.00003917006,0.002919501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2658306,"threshold_uncertainty_score":0.3819705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04342197594645338,"score_gpt":0.3448809939769246,"score_spread":0.3014590180304713,"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."}}