{"id":"W4377983833","doi":"10.1093/europace/euad122.287","title":"Clinical significance of conduction velocity orientation vectors on cardiac mapping surfaces","year":2023,"lang":"en","type":"article","venue":"EP Europace","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"Fondation Lefoulon Delalande","keywords":"Endocardium; Medicine; Ventricle; Orientation (vector space); Nerve conduction velocity; Biomedical engineering; Human heart; Resolution (logic); Image resolution; Nuclear medicine; Cardiology; Anatomy; Geometry; Physics; Artificial intelligence; Mathematics; Optics","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":[0.001246446,0.0002560389,0.0002053473,0.001279159,0.0001402948,0.001558883,0.0001966094,0.0004303492,0.002724389],"category_scores_gemma":[0.01208505,0.0001479942,0.0001159119,0.000563262,0.0004210373,0.0006446255,0.0003546753,0.000359426,0.0003720593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065371,"about_ca_system_score_gemma":0.0001603743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003860006,"about_ca_topic_score_gemma":0.0002284624,"domain_scores_codex":[0.9993775,0.0001879092,0.00007513304,0.0001476608,0.0001634638,0.00004830968],"domain_scores_gemma":[0.9955983,0.00254943,0.0007883377,0.0003266187,0.000535632,0.0002017949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003274384,0.0001348963,0.4417415,0.0003704412,0.0001101452,0.005001933,0.0009008559,0.008000632,0.08707871,0.003490428,0.002300945,0.4475951],"study_design_scores_gemma":[0.0001509974,0.001060164,0.8883246,0.0002753388,0.0001031204,0.01673345,0.0007457829,0.04882627,0.03198852,0.006630677,0.005056898,0.0001042252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712246,0.001347267,0.02152165,0.000267954,0.00009271802,0.00006685748,0.0004000008,0.0001981043,0.004880808],"genre_scores_gemma":[0.9962825,0.0001476099,0.002979416,0.0000175048,0.0000246549,0.00001683546,0.00008220306,0.00003154344,0.0004176393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002724389,"threshold_uncertainty_score":0.009113967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04452630789521473,"score_gpt":0.3347722938342723,"score_spread":0.2902459859390576,"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."}}