{"id":"W3164042698","doi":"10.1002/jbm.a.37239","title":"Promoting endogenous repair of skeletal muscle using regenerative biomaterials","year":2021,"lang":"en","type":"review","venue":"Journal of Biomedical Materials Research Part A","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Institute of Musculoskeletal Health and Arthritis; Canadian Institutes of Health Research","keywords":"Regeneration (biology); Biomaterial; Skeletal muscle; Tissue engineering; Materials science; Regenerative medicine; Biomedical engineering; In vivo; Structural integrity; Cell biology; Nanotechnology; Stem cell; Biology; Medicine; Anatomy; Engineering; Biotechnology","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":[0.0002893393,0.0007671374,0.0009693266,0.002488702,0.0002438538,0.000752542,0.0004790591,0.0007595688,0.002836379],"category_scores_gemma":[0.0002421352,0.0002553069,0.0004231102,0.001621865,0.0002895391,0.0009501894,0.0005364855,0.001053753,0.002011819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719435,"about_ca_system_score_gemma":0.000460641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004421704,"about_ca_topic_score_gemma":0.0008061889,"domain_scores_codex":[0.9998827,0.00001069473,0.00001393135,0.00002141943,0.00005795409,0.00001328842],"domain_scores_gemma":[0.9999069,0.00004101159,0.00001621363,0.000004142799,0.00002170464,0.00001007585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003616166,0.0001262458,0.0001094201,0.0190901,0.00005932958,0.0001915365,0.00007265601,0.0004105439,0.02213588,0.004148528,0.009901511,0.9437181],"study_design_scores_gemma":[0.00001312694,0.000189049,0.001068046,0.003349198,0.00008952929,0.001441944,0.00007786574,0.0001196185,0.00627899,0.001593976,0.9857565,0.00002208217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004273364,0.9973556,0.0002829447,0.0001021889,0.0001554036,0.000008093581,0.00001742155,0.000009405091,0.001641557],"genre_scores_gemma":[0.001280077,0.9970746,0.0003698139,0.00007113358,0.00007494797,0.00001026,0.00002728966,0.000001907389,0.001089936],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002836379,"threshold_uncertainty_score":0.009488642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2646562019684454,"score_gpt":0.4565923165811251,"score_spread":0.1919361146126797,"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."}}