{"id":"W2947626816","doi":"10.1016/b978-0-08-102476-8.00015-3","title":"Natural and synthetic bone replacement graft materials for dental and maxillofacial applications","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Dalhousie University; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Dentistry; Biomaterial; Biomedical engineering; Medicine; Tissue engineering; Bone tissue; Biocompatible material; 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":[0.000204695,0.0004525352,0.0006111089,0.0001200319,0.00006093215,0.0001083284,0.0001056217,0.0002539209,0.00009032019],"category_scores_gemma":[0.000007885223,0.0004777952,0.00006416849,0.000005616238,0.00007226651,0.00004099512,0.00009297112,0.0001442654,0.00006194768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009546031,"about_ca_system_score_gemma":0.00001671731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.411487e-7,"about_ca_topic_score_gemma":0.000002607256,"domain_scores_codex":[0.9987024,0.000005579045,0.0004328819,0.0004043023,0.0001766408,0.0002781732],"domain_scores_gemma":[0.9993773,0.00002894938,0.00008668819,0.0003840644,0.00003621971,0.00008678048],"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":[0.00007884562,0.000006981278,0.000001960849,0.003412744,0.0003999435,0.00001075316,0.0002164158,0.00003075565,0.1057297,0.01430923,0.0001828217,0.8756198],"study_design_scores_gemma":[0.0004567719,0.00004832674,0.00001746593,0.0002622569,0.0001715762,0.00009445518,0.000004339981,0.00006157046,0.006451049,0.001128873,0.9906622,0.0006411314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03887939,0.03081154,0.0009457257,0.0001058553,0.009434436,0.01902644,0.003580682,0.002392562,0.8948234],"genre_scores_gemma":[0.03238591,0.0004218733,0.002279798,0.00003393044,0.0003531891,0.0007524989,0.0001588849,0.0003880595,0.9632258],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9904794,"threshold_uncertainty_score":0.9997674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006309709384588603,"score_gpt":0.2037932590370448,"score_spread":0.1974835496524562,"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."}}