{"id":"W4392266678","doi":"10.1016/j.jacadv.2024.100893","title":"3D Printed Models in Cardiology Training","year":2024,"lang":"en","type":"editorial","venue":"JACC Advances","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Cardiology; Internal medicine; Medical physics; 3d printed; Training (meteorology); Medicine; Computer science; Biomedical engineering; Geography","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":[0.008822185,0.003538516,0.003456283,0.005823716,0.003067898,0.00942929,0.004369643,0.03039666,0.02066115],"category_scores_gemma":[0.03355785,0.001651333,0.004091958,0.002028325,0.00289385,0.004203607,0.002891435,0.02616092,0.01170435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003355939,"about_ca_system_score_gemma":0.003272967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002751946,"about_ca_topic_score_gemma":0.008127742,"domain_scores_codex":[0.9917596,0.001802061,0.0009861755,0.0005751293,0.00445185,0.0004252474],"domain_scores_gemma":[0.9684272,0.01511138,0.001478147,0.0009018304,0.01055239,0.003529102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002579569,0.00001013837,0.00001248464,0.0002319917,0.0000156659,0.00009144912,0.000009671538,0.00003413781,0.00003121204,0.0003232073,0.9919556,0.00725854],"study_design_scores_gemma":[0.0001015747,0.00004325115,0.000237757,0.001144709,0.00009172279,0.0003022544,0.00004006254,0.0002893755,0.00009361557,0.001525912,0.996107,0.00002278515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001946867,0.005797252,0.0001040616,0.0188344,0.9738162,0.000009921305,0.00002219512,0.00003083002,0.001365659],"genre_scores_gemma":[0.0003048514,0.005353186,0.00009839754,0.01339102,0.9748818,0.00001479071,0.00001689769,0.00002786723,0.00591127],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03039666,"threshold_uncertainty_score":0.06911844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097843614758045,"score_gpt":0.2643507822210441,"score_spread":0.2533723460734637,"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."}}