{"id":"W4385580866","doi":"10.1038/s41467-023-40196-y","title":"Non-invasive electromechanical assessment during atrial fibrillation identifies underlying atrial myopathy alterations with early prognostic value","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Esri (Canada)","funders":"Agencia Estatal de Investigación; European Regional Development Fund; Horizon 2020 Framework Programme; Fundación Interhospitalaria para la Investigación Cardiovascular; Instituto de Salud Carlos III; Fundación Salud 2000; Centro Nacional de Investigaciones Cardiovasculares; Ministerio de Ciencia e Innovación; Ministerio de Economía y Competitividad; European Commission","keywords":"Atrial fibrillation; Cardiology; Internal medicine; Myopathy; Medicine; Value (mathematics); Computer science","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":[0.0003171479,0.0002291573,0.0002450873,0.0003533926,0.0001113725,0.0003619975,0.000126231,0.0003612532,0.000681909],"category_scores_gemma":[0.0004841723,0.00007648946,0.00009066258,0.0001804072,0.0001732662,0.0002588595,0.0001931971,0.0002871359,0.0001845594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000055136,"about_ca_system_score_gemma":0.00005521392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008406431,"about_ca_topic_score_gemma":0.0002732307,"domain_scores_codex":[0.9999008,0.0000275561,0.000009415722,0.00002441247,0.00002495985,0.00001293085],"domain_scores_gemma":[0.9995992,0.0001341382,0.0001533519,0.00002542511,0.00003494923,0.00005307473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002721629,0.0001939882,0.4257682,0.0001668083,0.00007684541,0.001610033,0.0001954562,0.0004321209,0.4905773,0.0001458804,0.0002674154,0.07784434],"study_design_scores_gemma":[0.00001891352,0.0009397782,0.9703705,0.00001758404,0.00005467586,0.003181973,0.0001145063,0.00238445,0.02216951,0.0002701531,0.0004634743,0.00001441914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952995,0.001361615,0.002601054,0.00004998311,0.00001336183,0.00001296417,0.00007134762,0.00002621003,0.0005639921],"genre_scores_gemma":[0.9976565,0.0006298818,0.001278591,0.00002708932,0.00002174119,0.000008073747,0.00009227735,0.00000384346,0.0002819728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000681909,"threshold_uncertainty_score":0.002281189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217081159991538,"score_gpt":0.3286557720654505,"score_spread":0.3069476560662967,"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."}}