{"id":"W1989555018","doi":"10.1016/j.cmpb.2011.05.003","title":"An eikonal-diffusion solver and its application to the interpolation and the simulation of reentrant cardiac activations","year":2011,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Solver; Reentrancy; Eikonal equation; Interpolation (computer graphics); Computer science; Applied mathematics; Reentry; Algorithm; Mathematical analysis; Mathematical optimization; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002108,0.00008992018,0.000252548,0.00008514723,0.00007624915,0.000006274868,0.00003734776,0.0000613483,0.000001874896],"category_scores_gemma":[0.00003066972,0.00004687155,0.00002931918,0.0002357569,0.0001679941,0.00004913078,0.00004562538,0.000119044,1.703231e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006697232,"about_ca_system_score_gemma":0.000008903434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000444816,"about_ca_topic_score_gemma":0.000002571372,"domain_scores_codex":[0.999139,0.0002780552,0.0002082228,0.0001959679,0.00007694237,0.0001018568],"domain_scores_gemma":[0.9993816,0.0002542242,0.00006990306,0.0001696558,0.00006607673,0.00005854879],"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":[0.0006711071,0.00006291453,0.003496041,0.00004493211,0.00004708693,9.136307e-7,0.005306825,0.00002247732,0.0296063,0.0013608,0.00000636553,0.9593742],"study_design_scores_gemma":[0.003330113,0.001818364,0.4290244,0.0002255414,0.000241093,0.00004751763,0.0004069267,0.5577466,0.00198498,0.002968678,0.00204188,0.0001639551],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.696661,0.0008908401,0.3001975,0.001141692,0.00009255265,0.0009785478,0.000001449581,0.00001349394,0.00002285179],"genre_scores_gemma":[0.9533615,0.0002076925,0.04588913,0.0002610627,0.0001997565,0.00004808087,0.00002246016,0.000006014352,0.00000436456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9592103,"threshold_uncertainty_score":0.1911366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03946873297620668,"score_gpt":0.3552891487897171,"score_spread":0.3158204158135104,"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."}}