{"id":"W4309769113","doi":"10.1016/j.heliyon.2022.e11701","title":"Application of fused deposition modeling (FDM) on bone scaffold manufacturing process: A review","year":2022,"lang":"en","type":"review","venue":"Heliyon","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Calgary Arts Development; Kementerian Riset Teknologi Dan Pendidikan Tinggi Republik Indonesia; American Bureau of Shipping","keywords":"Scaffold; Biocompatible material; 3D printing; Bone grafting; Process (computing); Biomedical engineering; Fused deposition modeling; Materials science; Computer science; Engineering; Dentistry; Medicine; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002481551,0.0004767755,0.001284108,0.0003376533,0.00009992201,0.0000171457,0.0004064019,0.0002479964,0.00006198656],"category_scores_gemma":[0.00005812776,0.0004483415,0.0003400719,0.0002490788,0.00002274221,0.00006256744,0.0001180035,0.0006763109,0.00005222408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075736,"about_ca_system_score_gemma":0.00002742933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000321215,"about_ca_topic_score_gemma":8.458878e-7,"domain_scores_codex":[0.9981228,0.00005907179,0.0007519444,0.0004436533,0.0003297745,0.0002927355],"domain_scores_gemma":[0.9988651,0.0001112424,0.0003030205,0.000658069,0.00002309788,0.00003946442],"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":[0.000001310042,0.00001741619,4.078495e-8,0.2116469,0.00004781007,0.000003205433,0.000009372497,0.003459628,0.000001716862,0.00002134948,0.00003331419,0.7847579],"study_design_scores_gemma":[0.0001322829,0.00007786781,4.485054e-7,0.1949161,0.0006376464,0.00004756454,0.00002552268,0.004989279,0.003190759,0.0001240928,0.7949718,0.0008866757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007993494,0.9902051,0.006481352,0.00001001971,0.0001159753,0.001029824,0.00004778745,0.001230894,0.0007990826],"genre_scores_gemma":[0.001555034,0.9966863,0.0003440336,0.00002073803,0.00006978928,0.000935417,0.0002500235,0.0001244592,0.00001419857],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7949384,"threshold_uncertainty_score":0.9997968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777798293598393,"score_gpt":0.2837052400179936,"score_spread":0.2459272570820096,"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."}}