{"id":"W2154938422","doi":"10.1109/tbme.2009.2014243","title":"Automatically Generated, Anatomically Accurate Meshes for Cardiac Electrophysiology Problems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Heart, Lung, and Blood Institute; Engineering and Physical Sciences Research Council","keywords":"Polygon mesh; Electrophysiology; Computer science; Cardiac electrophysiology; Neuroscience; Computer graphics (images); Biology","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":[0.0004491429,0.0003675614,0.0003729403,0.0004738877,0.0002998129,0.0005390946,0.000685426,0.0008292529,0.0008151713],"category_scores_gemma":[0.002479968,0.0003782219,0.0004271214,0.0002480465,0.0004538833,0.0004444026,0.000751272,0.000574744,0.0002921007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704348,"about_ca_system_score_gemma":0.0005861983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367535,"about_ca_topic_score_gemma":0.001540238,"domain_scores_codex":[0.9997351,0.000108623,0.00001304313,0.00002482175,0.0001011344,0.00001736358],"domain_scores_gemma":[0.9993967,0.0003629206,0.00004696557,0.00008603078,0.00008644421,0.00002091168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000450909,0.00002612577,0.0005088241,0.00006206915,0.00001110945,0.0001628704,0.0001496482,0.9190356,0.01419728,0.02021139,0.001077266,0.04451267],"study_design_scores_gemma":[0.000007988328,0.000007801455,0.00005362033,0.000003843438,0.000001268771,0.0000281614,0.00001290805,0.9923332,0.001039604,0.005429732,0.001078206,0.000003696058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01681105,0.00008435078,0.9816175,0.00009341092,0.0000212252,0.00003023731,0.00003751721,0.0002346508,0.001069904],"genre_scores_gemma":[0.2505724,0.0002026479,0.7468905,0.00004974584,0.00003080459,0.0001699194,0.0002503294,0.0002234179,0.001610147],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001367535,"threshold_uncertainty_score":0.002727032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004388076145710037,"score_gpt":0.2186763425944341,"score_spread":0.214288266448724,"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."}}