{"id":"W4404359666","doi":"10.1161/circ.150.suppl_1.4143538","title":"Abstract 4143538: A Predictive Tool and Diagnostic Screening Algorithm for the Identification of Transthyretin Amyloid Cardiomyopathy in High-Risk Patient Populations","year":2024,"lang":"en","type":"article","venue":"Circulation","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Medicine; Transthyretin; Cardiomyopathy; Identification (biology); Amyloid (mycology); Internal medicine; Algorithm; Cardiology; Bioinformatics; Pathology; Heart failure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156859,0.0006646696,0.0005859221,0.002442853,0.0003768999,0.0008603844,0.0007726104,0.0005125075,0.003035254],"category_scores_gemma":[0.004317887,0.0001978862,0.0005510592,0.001064137,0.0001736759,0.0004803709,0.0006166691,0.0006008329,0.0009122494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008439541,"about_ca_system_score_gemma":0.001514432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009013079,"about_ca_topic_score_gemma":0.01242048,"domain_scores_codex":[0.9994833,0.0001422257,0.00007760707,0.00008228246,0.0001542962,0.00006028071],"domain_scores_gemma":[0.9989742,0.0002590593,0.000183127,0.00002230263,0.0004027252,0.0001585812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006452823,0.0002626402,0.9200234,0.00006350525,0.0001080607,0.0004102967,0.00008453814,0.00184518,0.0008076794,0.0002226398,0.009916916,0.06560978],"study_design_scores_gemma":[0.0004349012,0.00058678,0.9011833,0.000182807,0.000377593,0.003154763,0.0003121996,0.08436722,0.001321718,0.001166208,0.006851624,0.00006087321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617319,0.001274667,0.01867874,0.002580276,0.0001359861,0.001255176,0.006167616,0.0007988018,0.007376909],"genre_scores_gemma":[0.9580833,0.0003575736,0.03430882,0.0002675795,0.00008066453,0.000519508,0.005106601,0.00003443272,0.001241505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009013079,"threshold_uncertainty_score":0.01792127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195148481091342,"score_gpt":0.2551020160319716,"score_spread":0.2431505312210582,"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."}}