{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002598869,0.0003559598,0.0004211421,0.0003462777,0.0006781385,0.001686324,0.001092085,0.008286624,0.005958094],"category_scores_gemma":[0.02691935,0.0001918681,0.000502967,0.0002909459,0.001335568,0.001076075,0.00106324,0.008448238,0.004111479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001990891,"about_ca_system_score_gemma":0.001207641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442148,"about_ca_topic_score_gemma":0.002569103,"domain_scores_codex":[0.9974291,0.001447046,0.0001328173,0.000184905,0.0005774204,0.0002287311],"domain_scores_gemma":[0.9801231,0.01547123,0.0005005546,0.0007314412,0.001977315,0.00119639],"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":[0.0003390267,0.0001434839,0.00624247,0.0001758461,0.00007306752,0.003766472,0.0001782722,0.00221879,0.0008941068,0.0226755,0.7789074,0.1843855],"study_design_scores_gemma":[0.0004021138,0.0003249034,0.004506735,0.0008717994,0.00007077479,0.006868183,0.000370698,0.02201406,0.00178517,0.2111038,0.7516084,0.00007334582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002783726,0.003173748,0.003940099,0.965111,0.005339253,0.00003093264,0.000144373,0.0001634856,0.01931336],"genre_scores_gemma":[0.1614587,0.00601985,0.006444237,0.7805783,0.03054126,0.0001698552,0.0003376424,0.00007578383,0.0143744],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.008286624,"threshold_uncertainty_score":0.01993179,"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."}}