{"id":"W4413497657","doi":"10.1186/s41205-025-00292-9","title":"A scoping review of literature about 3D printing: knowledge, skills and attitude for simulation educators in healthcare","year":2025,"lang":"en","type":"review","venue":"3D Printing in Medicine","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation","funders":"","keywords":"CINAHL; Health care; Transformative learning; Inclusion (mineral); Medical education; 3D printing; Resource (disambiguation); Computer science; Knowledge management; Psychology; MEDLINE; Medicine; Engineering; Pedagogy; Political science; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001436522,0.0003578766,0.002326329,0.0007492211,0.00002753906,0.000005638107,0.0002404313,0.0004814863,0.0000107325],"category_scores_gemma":[0.004082465,0.0002971531,0.0001085589,0.001146483,0.00009828397,0.00004028248,0.0001158136,0.0009910418,9.307538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291721,"about_ca_system_score_gemma":0.0002831999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008496566,"about_ca_topic_score_gemma":0.00002960051,"domain_scores_codex":[0.9975666,0.0001131113,0.001411272,0.0004057203,0.0001394467,0.0003637926],"domain_scores_gemma":[0.9980889,0.001129496,0.0002711674,0.0003288314,0.000101663,0.00007992108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[3.129782e-7,0.00001840296,0.00007912495,0.4841872,0.00001455469,0.000002430466,0.0001102567,0.000007055231,2.511466e-8,0.0001933471,0.00002305069,0.5153642],"study_design_scores_gemma":[0.0002330081,0.00002073748,0.00003612809,0.7612248,0.00009343046,0.000005299559,0.000007355718,0.0003107503,5.47579e-7,0.0000370287,0.2378794,0.0001515558],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000254504,0.9955609,0.0006979721,0.0001922887,0.0004994282,0.002504458,0.000003824921,0.0001020447,0.0004136414],"genre_scores_gemma":[0.0001815261,0.9969072,0.002179389,0.0001124476,0.0001851949,0.0002942224,0.00005265229,0.00003796359,0.00004937558],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5152127,"threshold_uncertainty_score":0.9999481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142747021157393,"score_gpt":0.408947182799681,"score_spread":0.3875197125881071,"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."}}