{"id":"W3108814519","doi":"10.3390/mi11121066","title":"Tissue Engineering of Oral Mucosa and Salivary Gland: Disease Modeling and Clinical Applications","year":2020,"lang":"en","type":"review","venue":"Micromachines","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Decellularization; Oral mucosa; Tissue engineering; Salivary gland; Organoid; Organ culture; Pathology; Extracellular matrix; 3D cell culture; Cell culture; Organ-on-a-chip; In vitro; Medicine; Biology; Cell biology; Biomedical engineering; Nanotechnology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002920757,0.0003004152,0.0009934753,0.0001397743,0.00003232009,0.00003761808,0.0002485591,0.0001915177,0.000009960369],"category_scores_gemma":[0.0002035499,0.000258881,0.0001248982,0.0002221716,0.00008342045,0.0000370857,0.0002741461,0.0005367305,0.00001141919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002108637,"about_ca_system_score_gemma":0.00005347661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002056946,"about_ca_topic_score_gemma":0.000001652537,"domain_scores_codex":[0.9985899,0.00005358503,0.000633613,0.0003432193,0.0001555831,0.0002241163],"domain_scores_gemma":[0.998977,0.0003209543,0.00005195307,0.0002635056,0.00002260102,0.0003639663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001836455,0.00001471446,0.00006351655,0.01930585,0.0001291472,0.00001214488,0.00001064861,0.00006864824,0.00002660009,0.00003386056,0.0000676665,0.9802654],"study_design_scores_gemma":[0.0001366878,0.00001662126,0.00004576396,0.002192625,0.0002955032,0.00001971785,0.000001004842,0.09811394,0.000002617539,0.00003978693,0.8988437,0.000292052],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003651858,0.9864841,0.01223442,0.00002806343,0.0000824255,0.0004825341,0.0001230637,0.0001692551,0.00003096922],"genre_scores_gemma":[0.0007871974,0.9934019,0.005364554,0.000004995913,0.0001930807,0.00006194248,0.00009448866,0.00008153884,0.00001034028],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9799733,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04198094599642792,"score_gpt":0.3724403749031066,"score_spread":0.3304594289066786,"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."}}