{"id":"W4415397210","doi":"10.7759/cureus.95083","title":"Cardia-AI: Passive Cardiac Event Monitoring Using Smartwatch Sensors and Predictive Analysis via Large Language Models","year":2025,"lang":"en","type":"article","venue":"Cureus","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Smartwatch; Wearable computer; Medical diagnosis; Wearable technology; Language model; Audit; Medical record","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":[0.002348287,0.001490342,0.0005249067,0.0007112459,0.0003289334,0.001968237,0.001778181,0.0007623695,0.005612154],"category_scores_gemma":[0.01057573,0.0006239697,0.001418694,0.0003922328,0.0005084056,0.002756248,0.002241128,0.001717039,0.003504268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000653585,"about_ca_system_score_gemma":0.001817864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00546402,"about_ca_topic_score_gemma":0.006102046,"domain_scores_codex":[0.9985469,0.0004343098,0.0001373042,0.0004662126,0.0003401746,0.00007509258],"domain_scores_gemma":[0.9958342,0.002667694,0.0002844962,0.0005635041,0.0004790148,0.0001710112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003374597,0.0008709199,0.01865858,0.001874321,0.0007420489,0.001479866,0.003431208,0.1285874,0.08594073,0.03432823,0.09488524,0.625827],"study_design_scores_gemma":[0.0001945019,0.0003595151,0.002474036,0.0001206823,0.0001162022,0.000330508,0.0002343831,0.9006714,0.02892779,0.02188473,0.04453704,0.0001491408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01606335,0.0003057242,0.8616842,0.0009668177,0.0001281944,0.0004946918,0.005672609,0.1125448,0.002139542],"genre_scores_gemma":[0.2694822,0.0004856806,0.7016754,0.001071962,0.0001329916,0.001042373,0.01610359,0.005043032,0.004962873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005612154,"threshold_uncertainty_score":0.01877457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115718972212531,"score_gpt":0.311982961176691,"score_spread":0.3004110639554379,"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."}}