{"id":"W3214516450","doi":"10.1016/j.cjca.2021.11.005","title":"Advanced CT-Based Imaging Techniques to Evaluate Coronary Access After TAVI for Degenerated Surgical Bioprosthesis","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Radiology; Computed tomography; 3d printed; Surgical planning; Biomedical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007928681,0.0007479585,0.0003850284,0.003197029,0.000287364,0.001331411,0.0004685824,0.001294904,0.003140851],"category_scores_gemma":[0.003302815,0.0003382299,0.0005775124,0.001112028,0.0003921949,0.001079188,0.0004870004,0.001248051,0.0007151653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760826,"about_ca_system_score_gemma":0.0005946395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259943,"about_ca_topic_score_gemma":0.00326755,"domain_scores_codex":[0.9996793,0.00006525753,0.00007377697,0.00003857037,0.00008678839,0.00005634839],"domain_scores_gemma":[0.9988642,0.0003289241,0.0001668092,0.00006445031,0.0004365739,0.0001391549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003714849,0.0007633536,0.4411317,0.002153616,0.0008104654,0.03541578,0.0007312399,0.005485356,0.228565,0.003182779,0.008955106,0.2690907],"study_design_scores_gemma":[0.0004229596,0.002406963,0.6916331,0.002800891,0.002334699,0.1386365,0.001461957,0.05546553,0.07125477,0.004226694,0.02896734,0.0003885567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8091477,0.04412398,0.09164955,0.00291061,0.0007128522,0.0008681515,0.002162969,0.0005823959,0.04784179],"genre_scores_gemma":[0.9117557,0.01307177,0.0690603,0.001401623,0.0007835721,0.0001971431,0.0008803143,0.000109704,0.002739851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003197029,"threshold_uncertainty_score":0.01050717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916806386179517,"score_gpt":0.3540678205632668,"score_spread":0.3348997567014717,"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."}}