{"id":"W4239257930","doi":"10.32920/14637144.v1","title":"Nanoscale and Macroscale Scaffolds with Controlled-Release Polymeric Systems for Dental Craniomaxillofacial Tissue Engineering.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tissue engineering; Nanotechnology; Biomaterial; Regenerative medicine; Morphogen; Cell encapsulation; Extracellular matrix; Stem cell; Materials science; Chemistry; Biomedical engineering; Biology; Cell biology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001845847,0.0003003448,0.000160302,0.0003172356,0.0001606066,0.0003306463,0.0001690551,0.0004039309,0.001804676],"category_scores_gemma":[0.0001068046,0.0001457646,0.0002834385,0.0001533305,0.0001737789,0.0003730964,0.0002009331,0.0004105306,0.0006119886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691823,"about_ca_system_score_gemma":0.0001245923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002823042,"about_ca_topic_score_gemma":0.001216244,"domain_scores_codex":[0.9999101,0.000007274447,0.000006429726,0.00002193768,0.00004054421,0.00001365786],"domain_scores_gemma":[0.9999607,0.000006937673,0.00001806954,0.000003902746,0.000004163423,0.000006164007],"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":[0.00003143033,0.0000543086,0.00006576281,0.0004515661,0.00001657065,0.0001257296,0.00003784481,0.000632885,0.9657195,0.001678223,0.0009379078,0.03024826],"study_design_scores_gemma":[0.00002911866,0.000503487,0.001916981,0.00007047533,0.00004029542,0.0003913938,0.00003138943,0.002849394,0.9435104,0.0005733361,0.05005613,0.00002773627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6140524,0.1945422,0.1231451,0.001887622,0.00178769,0.000791336,0.001827181,0.002499484,0.05946689],"genre_scores_gemma":[0.8828493,0.03781524,0.05677325,0.0005060679,0.0002612054,0.0004300589,0.0005781,0.0001763355,0.02061044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001804676,"threshold_uncertainty_score":0.006037235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004936678736446759,"score_gpt":0.2290646264681061,"score_spread":0.2241279477316594,"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."}}