{"id":"W2896401907","doi":"10.1016/j.actbio.2018.10.011","title":"Development of an innervated tissue-engineered skin with human sensory neurons and Schwann cells differentiated from iPS cells","year":2018,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval","funders":"Fondation pour la Recherche Médicale; Conseil Régional d'Alsace; Centre Hospitalier Universitaire de Québec; Les Laboratories Pierre Fabre; Agence Nationale de la Recherche; Mitacs; Fondation René Touraine; Québec Consortium for Drug Discovery; Campus France; Université Laval","keywords":"Sensory system; Neuroscience; Materials science; Tissue engineering; Schwann cell; Cell biology; Anatomy; Biomedical engineering; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000745275,0.0002235593,0.0002257165,0.0001019095,0.0002509094,0.0001206933,0.0001940467,0.0001072936,0.000161296],"category_scores_gemma":[0.000008128326,0.0001742954,0.00001420957,0.0001788905,0.0002210487,0.0002280375,0.00007789846,0.00004333397,0.00002519353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001353499,"about_ca_system_score_gemma":0.00002825516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008679953,"about_ca_topic_score_gemma":0.00009240964,"domain_scores_codex":[0.998606,0.0001627971,0.0003467078,0.0004525923,0.0001923214,0.0002395976],"domain_scores_gemma":[0.9993505,0.00001613913,0.0001626632,0.0003114715,0.00005394843,0.0001052932],"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":[0.00009680488,0.0001104658,0.00001174048,0.00001878803,0.00001210798,0.00001090848,0.0006227699,4.007524e-7,0.9987873,0.00003439619,0.0001205815,0.000173752],"study_design_scores_gemma":[0.0005651292,0.0003060543,0.003821146,0.0000298749,0.00002082372,0.000003877105,0.00002325427,0.00008844891,0.9939814,0.00001396805,0.0009085048,0.0002375667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984279,0.00000224777,0.00005198691,0.00002239532,0.0009726937,0.0002109306,0.0001765172,0.0001094197,0.00002594268],"genre_scores_gemma":[0.9975178,0.000001231567,0.001912972,0.00004230103,0.000154248,0.000006971848,0.0001126812,0.00003301732,0.0002188123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004805932,"threshold_uncertainty_score":0.7107559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02887121551985253,"score_gpt":0.257776611578993,"score_spread":0.2289053960591404,"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."}}