{"id":"W2994860799","doi":"10.4244/eijv15i12a193","title":"Predicting TMVR outcomes – the Tendyne experience","year":2019,"lang":"en","type":"article","venue":"EuroIntervention","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00007139734,0.00007645771,0.0001196625,0.0000249509,0.00004407319,0.00002061576,0.00004500779,0.00001403166,0.0004716264],"category_scores_gemma":[0.00004629833,0.00004587391,0.000835373,0.00005984082,0.00001704977,0.00006458478,0.00003813107,0.0000573097,0.0003853054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002635238,"about_ca_system_score_gemma":0.000007481521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003722611,"about_ca_topic_score_gemma":0.000001221102,"domain_scores_codex":[0.9993921,0.00002921958,0.0001421787,0.0001526358,0.0001691605,0.000114694],"domain_scores_gemma":[0.999583,0.00002338741,0.00005422489,0.0002631573,0.00003011385,0.00004612929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003057751,0.0001010126,0.9978082,0.00002074952,0.0001297538,0.000006723362,0.0001521063,0.000001214218,0.0001805091,0.00008438376,0.0001488431,0.001335992],"study_design_scores_gemma":[0.0008048406,0.0001618576,0.9974582,0.00009958396,0.0001306767,0.00001314409,0.0002633914,0.0001019915,0.00012523,0.00001911843,0.0007815929,0.00004038251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937215,0.0002640465,0.00003597199,0.0003564084,0.0004437797,0.0003096584,0.000006872792,0.00005549045,0.004806267],"genre_scores_gemma":[0.9933693,0.000005844206,0.00001736246,0.0001629187,0.00004265305,0.000006243903,0.00002212776,0.00001146225,0.006362136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001555868,"threshold_uncertainty_score":0.5163978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790431926091489,"score_gpt":0.3613782567990524,"score_spread":0.3434739375381375,"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."}}