{"id":"W4289866229","doi":"10.3389/fbioe.2022.893936","title":"Peptide Biomaterials for Tissue Regeneration","year":2022,"lang":"en","type":"review","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Universidad de las Américas Puebla; Government of Ontario; University of Ottawa","keywords":"Regeneration (biology); Tissue engineering; Peptide; Chemistry; Cell biology; Biomedical engineering; Biology; Biochemistry; Medicine","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":[0.0004649081,0.0009501196,0.0006191204,0.001401355,0.0002900547,0.0009620434,0.0004016208,0.001095269,0.004505761],"category_scores_gemma":[0.0003874973,0.0002705965,0.0003507829,0.001076765,0.0004421702,0.001355113,0.0008490114,0.001894506,0.003630149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004702536,"about_ca_system_score_gemma":0.0005502163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003853991,"about_ca_topic_score_gemma":0.000597205,"domain_scores_codex":[0.9998032,0.00003281292,0.0000187866,0.00003706741,0.00008671203,0.00002135114],"domain_scores_gemma":[0.9999114,0.00003564199,0.00001656593,0.000005708589,0.00002062505,0.000009974136],"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":[0.00006002475,0.0001101045,0.0001090056,0.01475456,0.00008537748,0.000297985,0.0001111135,0.0004907611,0.03269053,0.02719478,0.03210437,0.8919915],"study_design_scores_gemma":[0.000009335665,0.00007893004,0.0002543824,0.0009400599,0.00002502011,0.0007157323,0.00002266332,0.00007915361,0.00417896,0.002634601,0.9910476,0.00001357795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003668746,0.9935971,0.0005753471,0.0002216618,0.000450602,0.00001312749,0.00002896389,0.00001432181,0.004731914],"genre_scores_gemma":[0.004053538,0.9889349,0.0008893108,0.0004610204,0.000338433,0.00003684428,0.00006840072,0.000006644419,0.005210778],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004505761,"threshold_uncertainty_score":0.01507324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303055734994969,"score_gpt":0.2793697564342993,"score_spread":0.2563391990843497,"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."}}