{"id":"W4411986699","doi":"10.1088/1748-605x/adebd2","title":"Decellularized lucky bamboo scaffolds for cartilage tissue engineering","year":2025,"lang":"en","type":"article","venue":"Biomedical Materials","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Baycrest Hospital; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decellularization; Tissue engineering; Scaffold; Cartilage; Extracellular matrix; Biomedical engineering; Aggrecan; Materials science; Fibronectin; Regeneration (biology); Chondrogenesis; Chemistry; Anatomy; Cell biology; Osteoarthritis; Pathology; Medicine; Articular cartilage; Biology; Biochemistry","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":[0.0002522465,0.0001755004,0.0004960354,0.0001589072,0.00004857007,0.00003147449,0.00007504627,0.0002046401,0.0004078771],"category_scores_gemma":[0.0001762061,0.0001434569,0.00007505043,0.0001421768,0.0000538793,0.00003749785,0.00004564329,0.0000240645,0.00006739055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006620174,"about_ca_system_score_gemma":0.00008542112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003486891,"about_ca_topic_score_gemma":9.055667e-7,"domain_scores_codex":[0.9988655,0.00001988146,0.0003560583,0.0002629623,0.0001703825,0.0003252464],"domain_scores_gemma":[0.999409,0.0000870214,0.00004119139,0.0002279348,0.00005768576,0.0001772023],"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":[0.0001879001,0.00007760694,0.00000562285,0.0003796733,0.00004566278,0.00005876622,0.00002798246,2.232508e-8,0.9890974,0.002696535,0.002123909,0.005298944],"study_design_scores_gemma":[0.003699962,0.0006264548,0.00001539406,0.0003891687,0.0001718796,0.00001931116,0.00001921821,0.000005830247,0.9017036,0.0004116354,0.09283035,0.0001072126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900799,0.001255779,0.002437904,0.001165266,0.003282818,0.001221242,0.00008910756,0.0002385324,0.0002294779],"genre_scores_gemma":[0.9799262,0.00003354624,0.01135459,0.0003982469,0.0005677365,0.0003548868,0.0003712462,0.00003778908,0.006955787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09070644,"threshold_uncertainty_score":0.5850003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008801817087786278,"score_gpt":0.2672848143764219,"score_spread":0.2584829972886357,"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."}}