{"id":"W2048762270","doi":"10.1002/term.306","title":"Effect of basic fibroblast growth factor on the cellular repopulation of decellularized anterior cruciate ligament allografts","year":2010,"lang":"en","type":"article","venue":"Journal of Tissue Engineering and Regenerative Medicine","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Decellularization; Basic fibroblast growth factor; Repopulation; Anterior cruciate ligament; Fibroblast; Tissue engineering; Chemistry; Growth factor; Ligament; Extracellular matrix; Cell biology; Biomedical engineering; Anatomy; Biology; Stem cell; Medicine; In vitro; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000452608,0.0005071181,0.000273132,0.000299644,0.0001178755,0.0002656246,0.0001599278,0.0002605508,0.0006267086],"category_scores_gemma":[0.0004527522,0.00008945923,0.0002866113,0.0001349683,0.0002287857,0.0001873203,0.0001822953,0.0003792558,0.0001921438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677898,"about_ca_system_score_gemma":0.0002116955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108258,"about_ca_topic_score_gemma":0.001400698,"domain_scores_codex":[0.9997182,0.0001078501,0.00003031331,0.00002692209,0.00006571898,0.00005106318],"domain_scores_gemma":[0.9996225,0.0001863758,0.00004311418,0.00002969177,0.00005803772,0.00006032217],"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":[0.0005307681,0.0001555004,0.0002138061,0.00006731571,0.00000780664,0.00007322797,0.00003064088,0.00008730064,0.9965257,0.00002634986,0.00002061344,0.002260884],"study_design_scores_gemma":[0.00002969962,0.00252457,0.002542769,0.00001361943,0.00003123385,0.0001195796,0.0000271007,0.0004848954,0.993361,0.00001760468,0.0008428682,0.000005074536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958762,0.002358318,0.0007107515,0.0000380322,0.0000274656,0.00003052169,0.00008033231,0.00002181711,0.0008565508],"genre_scores_gemma":[0.9954225,0.001076117,0.002313542,0.00004434025,0.00001964602,0.00003072766,0.0002154548,0.00001039782,0.0008671884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00108258,"threshold_uncertainty_score":0.002393663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00632323518076443,"score_gpt":0.2520905047866669,"score_spread":0.2457672696059025,"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."}}