{"id":"W4401553031","doi":"10.1177/20417314241265916","title":"Dynamic three-dimensional coculture model: The future of tissue engineering applied to the peripheral nervous system","year":2024,"lang":"en","type":"article","venue":"Journal of Tissue Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centres Intégré Universitaires de Santé et de Services Sociaux; PROTEO; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peripheral nervous system; Tissue engineering; Peripheral; Medicine; Nervous system; Neuroscience; Central nervous system; Biomedical engineering; Computer science; Biology; Internal 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":[0.0008633866,0.0003102246,0.0004136774,0.0002469,0.00007042437,0.0001299333,0.0007929298,0.0001773224,0.0000299911],"category_scores_gemma":[0.00007265186,0.0001880263,0.0001408098,0.000661276,0.00003037077,0.0001204089,0.000140644,0.001230953,0.00002312169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003161384,"about_ca_system_score_gemma":0.00006590162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004671487,"about_ca_topic_score_gemma":0.000006930831,"domain_scores_codex":[0.9977804,0.0000165962,0.0006416356,0.0001823821,0.0009030134,0.000476001],"domain_scores_gemma":[0.9990267,0.0002134758,0.00006165814,0.0003547248,0.0001221943,0.0002213161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008181545,0.000005883359,0.000001340164,0.0006876327,0.0001540523,0.00006482986,0.0004332419,0.9097389,0.07631531,0.001116102,0.001652143,0.009822405],"study_design_scores_gemma":[0.0001245242,0.00005287912,0.0001600956,0.0005673796,0.00004514544,0.0003097469,0.00009157923,0.9505676,0.004514539,0.0000128575,0.0433514,0.0002022375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2167975,0.03109736,0.7385613,0.003437768,0.007894772,0.00105663,0.00004650327,0.0007972017,0.0003109794],"genre_scores_gemma":[0.9847386,0.00004848044,0.01378833,0.00001535107,0.00115358,0.00002282448,0.000002429661,0.0001148542,0.0001155221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7679411,"threshold_uncertainty_score":0.766749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005180640363985958,"score_gpt":0.2362820473573651,"score_spread":0.2311014069933792,"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."}}