{"id":"W4405358467","doi":"10.1016/j.dental.2024.12.003","title":"Guidance for evaluating biomaterials’ properties and biological potential for dental pulp tissue engineering and regeneration research","year":2024,"lang":"en","type":"review","venue":"Dental Materials","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"National Institute of Dental and Craniofacial Research","keywords":"Materials science; Regeneration (biology); Tissue engineering; Biomedical engineering; Dental pulp stem cells; Hard tissue; Dentistry; Engineering; Stem cell; Medicine; Biology; Cell biology","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":[0.001230857,0.000402482,0.001034415,0.0001899533,0.0002471038,0.0009019683,0.0001599176,0.0003472872,0.00002915972],"category_scores_gemma":[0.0002520398,0.0002760557,0.0001294476,0.00008595308,0.00007818564,0.00009531224,0.0002910968,0.00006078802,0.00004043758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326405,"about_ca_system_score_gemma":0.00004793138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003734302,"about_ca_topic_score_gemma":0.00001558438,"domain_scores_codex":[0.9977058,0.0002157971,0.0007339887,0.0006683714,0.0002591644,0.0004169083],"domain_scores_gemma":[0.9993633,0.0001073725,0.0001689923,0.0001795131,0.00009352407,0.00008727791],"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":[0.0001572462,0.00006583049,0.00000634357,0.05154515,0.0005624519,0.0001240279,0.00004875227,0.000001369517,0.8853224,0.0007359894,0.0008671604,0.06056328],"study_design_scores_gemma":[0.003518002,0.002691082,0.00007557004,0.04484174,0.004752979,0.003562337,0.0001763241,0.0006867408,0.5270739,0.000752837,0.4092948,0.002573665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2237565,0.7691264,0.00006053182,0.000006526181,0.002660994,0.002591592,0.001742011,0.00005292079,0.000002491096],"genre_scores_gemma":[0.03703571,0.9517695,0.002827144,0.000005980564,0.00191053,0.00331253,0.001711781,0.0001892705,0.001237546],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4084276,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2880691256205749,"score_gpt":0.4531183134717842,"score_spread":0.1650491878512093,"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."}}