{"id":"W4387934272","doi":"10.1016/j.jcjd.2023.10.082","title":"A DIAGNOSTIC SCREENING ALGORITHM FOR THE IDENTIFICATION OF TRANSTHYRETIN AMYLOID CARDIOMYOPATHY IN HIGH-RISK PATIENT POPULATIONS: UPDATED RESULTS","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Transthyretin; Identification (biology); Cardiomyopathy; Amyloid (mycology); Internal medicine; Computational biology; Pathology; Algorithm; Heart failure","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":[0.003684097,0.001100016,0.001488093,0.003127648,0.0005051604,0.002249042,0.001342185,0.001363677,0.001991689],"category_scores_gemma":[0.0141514,0.0003735306,0.001777494,0.002114112,0.0002228101,0.001279178,0.0008327005,0.001250081,0.0007222659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547628,"about_ca_system_score_gemma":0.002593321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312385,"about_ca_topic_score_gemma":0.01248608,"domain_scores_codex":[0.9981368,0.0004929022,0.0003771144,0.0002648702,0.0006173306,0.0001110835],"domain_scores_gemma":[0.9937052,0.001605104,0.0006626053,0.000207603,0.003549568,0.0002698583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001100242,0.000981755,0.5255401,0.001126451,0.001758926,0.000535715,0.0002800525,0.004482006,0.001300261,0.001235873,0.06633828,0.3953205],"study_design_scores_gemma":[0.001468979,0.0008492924,0.868166,0.002649863,0.007438337,0.004908043,0.000662078,0.0415802,0.004070572,0.003784323,0.06416395,0.0002584214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6760221,0.0917872,0.08400615,0.03654168,0.004232415,0.003862851,0.05902471,0.002928525,0.04159445],"genre_scores_gemma":[0.805962,0.0180961,0.1159612,0.005359062,0.00163263,0.001713251,0.0473663,0.0002287572,0.003680668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01312385,"threshold_uncertainty_score":0.02609491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627388594264086,"score_gpt":0.2343346366657597,"score_spread":0.2180607507231188,"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."}}