{"id":"W3188564386","doi":"10.1093/icvts/ivab198","title":"Supravalvular aortic stenosis repair: surgical training of 2 repair techniques using 3D-printed models","year":2021,"lang":"en","type":"article","venue":"Interactive Cardiovascular and Thoracic Surgery","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children","keywords":"Medicine; Supravalvular aortic stenosis; Aortic valve repair; Stenosis; Surgery; Cardiology; Aorta; Aortic root","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001226306,0.0006361024,0.0003723366,0.000756807,0.0002920027,0.0008821178,0.0006375922,0.000924456,0.006291032],"category_scores_gemma":[0.00150145,0.0003771003,0.001059189,0.0002735949,0.0004564895,0.0006304727,0.001301682,0.0006652076,0.001955807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109967,"about_ca_system_score_gemma":0.0007576351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004057034,"about_ca_topic_score_gemma":0.0009858448,"domain_scores_codex":[0.9992802,0.0001103516,0.00007541967,0.00009904072,0.0003639346,0.00007112346],"domain_scores_gemma":[0.9994931,0.0001757802,0.0000553838,0.00009968751,0.00006759587,0.0001084681],"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":[0.0009525985,0.002490971,0.01465658,0.001204448,0.0001165895,0.00201166,0.002345782,0.0326972,0.1540899,0.003548615,0.006836571,0.7790492],"study_design_scores_gemma":[0.0006399695,0.01578189,0.1120153,0.001687415,0.0007526687,0.04726095,0.001889446,0.2198179,0.2638517,0.008826385,0.3263522,0.001124077],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5725902,0.00300932,0.3819692,0.001143617,0.00109528,0.0008637356,0.00039074,0.003001911,0.03593605],"genre_scores_gemma":[0.6156714,0.003150173,0.3593048,0.0005636255,0.0002290225,0.0005648497,0.0005873353,0.0004222548,0.01950658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006291032,"threshold_uncertainty_score":0.02104563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08343338103070799,"score_gpt":0.3277632097126943,"score_spread":0.2443298286819863,"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."}}