{"id":"W4362561199","doi":"10.3389/fbioe.2023.1193168","title":"Editorial: Bio and nanomaterials in tissue engineering and regenerative medicine (BioNTERM)","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Periodontal Regeneration and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université Laval; University of Ottawa","funders":"","keywords":"Regenerative medicine; Coronavirus disease 2019 (COVID-19); Nanotechnology; Computer science; Engineering; Engineering ethics; Stem cell; Medicine; Biology; Materials science; Pathology","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002373978,0.0004288543,0.000978876,0.001163821,0.0000366936,0.00003042632,0.00007882543,0.00178457,0.000002283123],"category_scores_gemma":[0.0007069845,0.0003709669,0.00002139733,0.0003415153,0.0002183165,0.00005447426,0.0001218567,0.0005728686,0.000001573851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677868,"about_ca_system_score_gemma":0.00004919981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544086,"about_ca_topic_score_gemma":0.00006044156,"domain_scores_codex":[0.9983507,0.00002190296,0.0004359045,0.0006136307,0.0002059409,0.0003719493],"domain_scores_gemma":[0.9994567,0.00009124808,0.00007916029,0.0002173625,0.00003522888,0.0001203254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001100342,0.00003742442,0.0005419388,0.0005732575,0.0001378678,0.000255039,0.0002271638,0.00001043439,0.05398227,0.00006078261,0.9389142,0.005149637],"study_design_scores_gemma":[0.003355303,0.000699423,0.0004735886,0.00123175,0.00008498622,0.00004348749,0.0001079338,0.001097906,0.01065179,0.00002363707,0.9817817,0.0004485276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.03316522,0.008779155,0.0002281016,0.0007960382,0.956278,0.0004110498,0.0000771542,0.0002577896,0.000007478749],"genre_scores_gemma":[0.01499406,0.04145753,0.006201718,0.00002144632,0.9354188,0.0001806809,0.0006459109,0.0001780968,0.0009017698],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04333048,"threshold_uncertainty_score":0.9998742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007000056756729845,"score_gpt":0.247347163424024,"score_spread":0.2403471066672942,"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."}}