{"id":"W4313444061","doi":"10.1016/j.acvdsp.2022.10.105","title":"Canadian experience with the RAISE score to identify patients at high risk for cardiac amyloidosis in a TAVI population","year":2022,"lang":"en","type":"article","venue":"Archives of Cardiovascular Diseases Supplements","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Cardiac amyloidosis; Appropriate Use Criteria; Cohort; Population; Internal medicine; Framingham Risk Score; Stenosis; Amyloidosis; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001418125,0.0002507064,0.0003792652,0.0001759147,0.0004187489,0.00002249041,0.0004265198,0.0000275844,0.00004270759],"category_scores_gemma":[0.00008067392,0.0002114208,0.0006781181,0.0001989843,0.00006839147,0.00001213385,0.0004072658,0.00006047111,0.000001578966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844678,"about_ca_system_score_gemma":0.0001040503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04698577,"about_ca_topic_score_gemma":0.01658372,"domain_scores_codex":[0.9978294,0.0003260623,0.000283288,0.0005926823,0.0005076898,0.0004609118],"domain_scores_gemma":[0.9986722,0.00006157202,0.0001249866,0.0008519762,0.00004400863,0.0002452189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003408503,0.0001337945,0.9869404,0.00002192955,0.001296238,0.000003461015,0.0004227947,0.005374814,0.0002125683,0.00000780094,0.0009517765,0.004293502],"study_design_scores_gemma":[0.002218595,0.0003684628,0.9714439,0.00001445303,0.0005475366,6.109902e-7,0.000406833,0.00000876686,0.002028654,0.00002980587,0.02267256,0.0002598493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895877,0.001557153,0.000105234,0.0001309647,0.0001249797,0.001937227,0.006531601,0.00000720844,0.0000179238],"genre_scores_gemma":[0.9916972,0.0002820436,0.0002593173,0.0001429998,0.00003760053,0.003206268,0.00428228,0.00004586016,0.00004641053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03040205,"threshold_uncertainty_score":0.9593604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005854572098055115,"score_gpt":0.2424319158036365,"score_spread":0.2365773437055813,"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."}}