{"id":"W2972529026","doi":"10.1097/01.gox.0000583840.01091.16","title":"S15-02 SESSION 15: PLANNING/IMAGING - PART I DEVELOPMENT OF BONE CUTTING INSTRUMENTATION IN THE APPLICATION OF ROBOTIC ASSISTED CRANIOSYNOSTOSIS SURGERY USING THE DA VINCI PLATFORM.","year":2019,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Finite element method; Session (web analytics); Software; Computer science; Visualization; Ultrasonic sensor; Engineering drawing; Simulation; Engineering; Artificial intelligence; Acoustics; Structural 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398456,0.0008381631,0.000343097,0.0007065052,0.0003716373,0.0010498,0.0007549515,0.001085705,0.04179065],"category_scores_gemma":[0.0005227083,0.0003193826,0.0004705067,0.0003826242,0.0002988526,0.0004898424,0.001393474,0.0008473849,0.02356225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005048256,"about_ca_system_score_gemma":0.001738783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004788205,"about_ca_topic_score_gemma":0.0008228669,"domain_scores_codex":[0.9995604,0.00008801089,0.00002632118,0.0000820124,0.0001999459,0.00004323172],"domain_scores_gemma":[0.9995961,0.00004694484,0.00002394189,0.00005346095,0.0001766952,0.0001028628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004455378,0.0005254596,0.003426615,0.001840145,0.00008556373,0.0006712032,0.0004040802,0.008989016,0.1832335,0.01147557,0.1377898,0.6511135],"study_design_scores_gemma":[0.00007222557,0.001121899,0.008387483,0.0003742271,0.00004197664,0.003043531,0.0001136492,0.009826425,0.1132992,0.002785569,0.860873,0.00006087997],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05844732,0.01852982,0.460867,0.002573726,0.006127224,0.002936728,0.003245528,0.00597963,0.441293],"genre_scores_gemma":[0.2022588,0.01649867,0.3225328,0.001076165,0.001874252,0.002126458,0.00853086,0.001772356,0.4433297],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04179065,"threshold_uncertainty_score":0.1398037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423820371019849,"score_gpt":0.2993152341982638,"score_spread":0.2650770304880653,"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."}}