{"id":"W4214908860","doi":"10.1093/europace/euac038","title":"How to use digital devices to detect and manage arrhythmias: an EHRA practical guide","year":2022,"lang":"en","type":"article","venue":"EP Europace","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotel Dieu Hospital","funders":"Novo Nordisk Fonden; Amsterdam University Medical Centers","keywords":"Medicine; 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":[0.009955745,0.002029849,0.001714916,0.004504724,0.001113312,0.004892293,0.002130173,0.005115299,0.04924032],"category_scores_gemma":[0.02537724,0.001289741,0.001499947,0.001999929,0.001351466,0.009410651,0.003712833,0.008349435,0.09417033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007489991,"about_ca_system_score_gemma":0.003298233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723216,"about_ca_topic_score_gemma":0.004839116,"domain_scores_codex":[0.9952003,0.001753381,0.001082528,0.0003459952,0.001413525,0.0002041983],"domain_scores_gemma":[0.9869559,0.005482596,0.0007368171,0.001106393,0.003981775,0.001736452],"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":[0.00006146046,0.0001949588,0.0007695218,0.0005121349,0.00002251839,0.001308786,0.0006756664,0.0003062561,0.001025145,0.003718089,0.5669893,0.4244163],"study_design_scores_gemma":[0.00007369405,0.0001204799,0.001567099,0.002639408,0.00002490156,0.007398379,0.000824813,0.0007718247,0.0005112599,0.0161438,0.9698068,0.0001176333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002526241,0.03851635,0.5060732,0.2567272,0.01073032,0.00254017,0.00726994,0.02856824,0.1470482],"genre_scores_gemma":[0.01086118,0.07198499,0.7374862,0.0689953,0.007353181,0.00327746,0.004780619,0.00431811,0.09094296],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04924032,"threshold_uncertainty_score":0.1647253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145775494740866,"score_gpt":0.3116887643509954,"score_spread":0.2802310094035867,"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."}}