{"id":"W4393175743","doi":"10.1016/s2589-7500(24)00024-4","title":"Artificial intelligence-driven cardiac amyloidosis screening","year":2024,"lang":"en","type":"letter","venue":"The Lancet Digital Health","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta","funders":"","keywords":"Amyloidosis; Cardiac amyloidosis; Medicine; Computer science; Intensive care medicine; Internal 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002847781,0.0006063558,0.0009264029,0.0001009396,0.0002232932,0.0004054642,0.0008135814,0.0005844653,0.00002535067],"category_scores_gemma":[0.00009686404,0.0004408149,0.000555952,0.0002247588,0.0002240633,0.00001250721,0.0004503526,0.001156199,0.0004808054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095376,"about_ca_system_score_gemma":0.0002918984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000119029,"about_ca_topic_score_gemma":0.00003415261,"domain_scores_codex":[0.996789,0.0001725663,0.0006188946,0.0009129969,0.0004335562,0.00107294],"domain_scores_gemma":[0.9981595,0.0001617919,0.0002849877,0.001194962,0.00006003948,0.0001387432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003575235,0.00003096347,0.001357488,0.0002130401,0.0004655198,0.00003590793,0.0000892231,0.00002190021,0.00001997926,0.00009495275,0.9421356,0.05549964],"study_design_scores_gemma":[0.00006450479,0.0003142075,0.0002391871,0.0002266502,0.0001003918,0.00001711939,0.0001020915,0.00002407389,0.001123919,0.001015442,0.9962629,0.0005094809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004151701,0.009187022,0.0007396476,0.9765832,0.00161398,0.00109996,0.003069272,0.000208157,0.003346989],"genre_scores_gemma":[0.1398337,0.006285012,0.0006823441,0.8092809,0.03034103,0.0004539219,0.007481837,0.0003781115,0.005263214],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1673024,"threshold_uncertainty_score":0.9998044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382185393283213,"score_gpt":0.3250137045587954,"score_spread":0.2711918506259633,"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."}}