{"id":"W4389428730","doi":"10.1109/tbme.2023.3340524","title":"Sequential Intracardiac Activation Time Mapping of Arrhythmias Without Fiducial Time References","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Cardiac Arrhythmias and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Fiducial marker; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004230867,0.000442338,0.0002506296,0.0005896299,0.0001392818,0.0005167887,0.0004594152,0.0003840317,0.001098296],"category_scores_gemma":[0.002502716,0.0001951234,0.0003328733,0.0004406817,0.0002042308,0.0005761085,0.0004315745,0.0002793688,0.0003241591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645503,"about_ca_system_score_gemma":0.0004211919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006841199,"about_ca_topic_score_gemma":0.001249129,"domain_scores_codex":[0.9997432,0.00005271678,0.00002104042,0.00005883629,0.0001022235,0.00002190933],"domain_scores_gemma":[0.9993646,0.0002260068,0.0001290958,0.0001004215,0.0001460075,0.00003380211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009124692,0.0001304335,0.01379657,0.0003645544,0.0001058638,0.0009437038,0.0004893891,0.05639746,0.3626681,0.00338552,0.001260955,0.5595451],"study_design_scores_gemma":[0.00008667956,0.001193062,0.04804385,0.00006741604,0.000156319,0.005597246,0.0002459466,0.6713754,0.2596221,0.004321459,0.009190174,0.0001002264],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1635401,0.0003028458,0.8344471,0.0000492684,0.00003010697,0.00004553602,0.00008761742,0.00061495,0.0008823407],"genre_scores_gemma":[0.7166131,0.0002357024,0.2816907,0.00003012147,0.00002810512,0.00007805102,0.0002065427,0.0001349003,0.0009829036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001098296,"threshold_uncertainty_score":0.003674209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710309206355464,"score_gpt":0.2536162036264928,"score_spread":0.2365131115629381,"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."}}