{"id":"W2000049560","doi":"10.1002/jbm.a.32472","title":"Design and characterization of a biodegradable composite scaffold for ligament tissue engineering","year":2009,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Scaffold; Materials science; Tissue engineering; Ligament; Biomedical engineering; Decorin; Extracellular matrix; Matrix (chemical analysis); Composite number; Proteoglycan; Composite material; Anatomy; Cell biology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003716143,0.0001224671,0.0004323646,0.0002829306,0.0001193944,0.000172306,0.0002649694,0.0001034178,0.0001543837],"category_scores_gemma":[0.0001423377,0.00009099357,0.00003694975,0.0002403843,0.0001685348,0.0001692491,0.0000500614,0.00005390551,0.000008695836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004350958,"about_ca_system_score_gemma":0.0001073992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008057725,"about_ca_topic_score_gemma":5.923376e-8,"domain_scores_codex":[0.9978621,0.0001815759,0.0008248384,0.0001781456,0.0005970497,0.0003562709],"domain_scores_gemma":[0.9987329,0.0002111657,0.0003334267,0.0001522783,0.0003421125,0.0002281214],"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":[0.0002844432,0.0001879933,0.00000150682,0.0001223541,0.00001024419,0.000006082886,0.00006299475,0.000003604512,0.9967655,0.0001030684,0.0003482919,0.002103932],"study_design_scores_gemma":[0.0005887701,0.001210012,0.0003925013,0.000362778,0.0000150208,0.00003875903,0.000009704164,0.0001296698,0.9921479,0.0002425136,0.004772856,0.00008952458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784855,0.0001420586,0.01880229,0.001584974,0.0003288149,0.0005394397,0.0001002662,0.00001501249,0.000001607997],"genre_scores_gemma":[0.9812864,0.0001875441,0.01791925,0.00004490783,0.0004683073,0.00004099305,0.00002023813,0.00001322602,0.00001913249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004617594,"threshold_uncertainty_score":0.371061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970190494927043,"score_gpt":0.3395298137480171,"score_spread":0.2898279087987466,"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."}}