{"id":"W7128006371","doi":"10.1093/eurheartj/ehaf784.4411","title":"AI-ECG performance in detecting left ventricular systolic dysfunction and predicting death in Chagas disease patients: SaMi-Trop project","year":2025,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Ejection fraction; Chagas disease; Cohort; Baseline (sea); Prospective cohort study; Mortality rate; Disease; Electrocardiography; Heart failure","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":[0.002374189,0.001068202,0.0006998219,0.0007031725,0.0002720208,0.0006791494,0.0007862355,0.0007965856,0.001397286],"category_scores_gemma":[0.004987677,0.0001780758,0.0009107487,0.0002639199,0.0002102741,0.000351662,0.0008781303,0.0006946394,0.0005394339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276904,"about_ca_system_score_gemma":0.0005234209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008348512,"about_ca_topic_score_gemma":0.007985147,"domain_scores_codex":[0.9994691,0.0002345561,0.00003842335,0.000145519,0.0000495332,0.0000628847],"domain_scores_gemma":[0.9988306,0.0004774023,0.00009980306,0.0001484317,0.0002350057,0.0002086812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003985228,0.001423191,0.7652026,0.0004851843,0.001277894,0.0006647037,0.0003516316,0.08604154,0.005262163,0.0005191787,0.01601079,0.118776],"study_design_scores_gemma":[0.0004714237,0.002558444,0.3328368,0.0001994437,0.0005554059,0.0009361724,0.0004257547,0.6530943,0.003632916,0.000928222,0.004265125,0.00009598296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858452,0.0007522352,0.005762785,0.0007120576,0.0001166729,0.0001369565,0.00405584,0.0007429895,0.001875323],"genre_scores_gemma":[0.986073,0.0001398664,0.005482063,0.0001504227,0.00005207157,0.00007209599,0.007391044,0.00003134825,0.000607918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008348512,"threshold_uncertainty_score":0.01659983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571621530082818,"score_gpt":0.3072012417506069,"score_spread":0.2814850264497787,"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."}}