{"id":"W2333863321","doi":"10.1016/s0735-1097(16)32167-2","title":"PREDICTION OF POOR OUTCOME AFTER TAVR: EXTERNAL VALIDATION OF AN EXISTING MODEL","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Outcome (game theory); Model validation; Internal medicine; Data science","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":[0.01511931,0.001233058,0.00105696,0.001230906,0.0006749909,0.001443909,0.002185029,0.001279983,0.001891744],"category_scores_gemma":[0.02735064,0.000339783,0.001254158,0.0007220148,0.0007698657,0.0009295496,0.001607486,0.001316039,0.001018637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000744335,"about_ca_system_score_gemma":0.001783202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009287667,"about_ca_topic_score_gemma":0.004966094,"domain_scores_codex":[0.9971533,0.001484174,0.0001878004,0.0006706544,0.0003035965,0.0002004533],"domain_scores_gemma":[0.975287,0.01664142,0.001308418,0.003157534,0.003001012,0.0006046601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005622712,0.002591959,0.7842513,0.0001669145,0.001645012,0.0003056326,0.0005227307,0.1566354,0.00151715,0.0006097113,0.005036169,0.04109526],"study_design_scores_gemma":[0.0005550183,0.002346043,0.2163349,0.00009726611,0.0006633298,0.0003057861,0.0002587971,0.7751375,0.001639515,0.001257862,0.001339341,0.00006467578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823589,0.0001071574,0.01373418,0.00017875,0.00008289205,0.0001380677,0.002197152,0.0001931559,0.001009725],"genre_scores_gemma":[0.9930554,0.00004328497,0.003181162,0.00004771224,0.00002755567,0.0001199695,0.003129377,0.00003371483,0.0003617497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01511931,"threshold_uncertainty_score":0.07995951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253062328643839,"score_gpt":0.2754220078647086,"score_spread":0.2501157750003247,"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."}}