{"id":"W3216066052","doi":"10.1016/j.biomaterials.2021.121269","title":"Repair of peripheral nerve injuries using a prevascularized cell-based tissue-engineered nerve conduit","year":2021,"lang":"en","type":"article","venue":"Biomaterials","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Nerve guidance conduit; Epineurial repair; Sciatic nerve; Transplantation; Tissue engineering; Anatomy; Electrical conduit; Materials science; Biomedical engineering; Epineurium; Peripheral nerve injury; Medicine; Surgery","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":[0.000298034,0.0002034462,0.000401691,0.00007437263,0.0001360274,0.00009742883,0.0001396104,0.000143135,0.0004724079],"category_scores_gemma":[0.0001762977,0.0001824406,0.0001861001,0.0002673841,0.0001298674,0.0001944107,0.0000701916,0.00001715033,0.00001085644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003621886,"about_ca_system_score_gemma":0.0001722145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008510087,"about_ca_topic_score_gemma":0.000003231306,"domain_scores_codex":[0.997953,0.0005528911,0.0005399743,0.0004345677,0.000267186,0.0002523684],"domain_scores_gemma":[0.9990993,0.00006819153,0.0002115227,0.0004481402,0.0001024171,0.00007039294],"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":[0.00008768148,0.0001147005,0.00002487718,0.0002199324,0.00001271041,0.00007374498,0.0001182834,0.0003300913,0.9984912,0.0004293751,0.0000741069,0.00002332305],"study_design_scores_gemma":[0.000741687,0.00009209827,0.0000867651,0.00005350986,0.00005001072,0.00002057857,0.00001574571,0.001042854,0.9967801,0.00003849897,0.0008630719,0.0002150549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969491,0.0002390738,0.0009864885,0.00005580635,0.001087398,0.0002949383,0.0001174687,0.0001734278,0.00009628322],"genre_scores_gemma":[0.9946585,0.000005264845,0.004582518,0.00007984765,0.0001741993,0.00002160323,0.00004208369,0.00003108342,0.0004049323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003596029,"threshold_uncertainty_score":0.7439712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03925280257855091,"score_gpt":0.2904427230887297,"score_spread":0.2511899205101788,"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."}}