{"id":"W7028033362","doi":"","title":"Development of 3D printed patient specific ascending aortic training models for cardiac surgery","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"3d printed; Cadaver; 3D printing; Ascending aorta; 3d printer; Aorta; Cardiac surgery; 3d model","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":[0.0007170483,0.0006123294,0.001202067,0.000596262,0.0003558386,0.00001430457,0.0003494611,0.0009528619,0.00007089908],"category_scores_gemma":[0.0003603599,0.0005967047,0.000435757,0.0003219229,0.00005369934,0.0002742566,0.00005757633,0.0007934542,0.00003095091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006480622,"about_ca_system_score_gemma":0.00009655544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003556651,"about_ca_topic_score_gemma":0.00001921506,"domain_scores_codex":[0.9965526,0.00006373365,0.001356077,0.0006460093,0.0005394812,0.0008420326],"domain_scores_gemma":[0.9982893,0.0004214771,0.0003644017,0.0004582299,0.0002110711,0.0002555202],"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":[0.00005651243,0.00004100229,0.000002734458,0.0006648171,0.0003866867,0.000008415357,0.0000705119,0.00004608763,0.01784888,0.01530227,0.000009009255,0.9655631],"study_design_scores_gemma":[0.00070858,0.00007555952,0.0001266105,0.003593758,0.000237636,0.00000805022,0.001517414,0.0007466682,0.5676248,0.01397872,0.4093516,0.002030585],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708066,0.001100456,0.0001347495,0.000003215568,0.003158538,0.0009436823,0.0005980309,0.0007421471,0.02251257],"genre_scores_gemma":[0.9890481,0.0009856866,0.008315381,0.00001351511,0.00004515689,0.0004316623,0.0005934772,0.0002329081,0.0003341148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9635325,"threshold_uncertainty_score":0.9996485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917732931543685,"score_gpt":0.2347839904141246,"score_spread":0.2056066610986878,"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."}}