{"id":"W2316796749","doi":"10.1142/9789812702234_0216","title":"SIMULATED EPICARDIAL POTENTIAL MAPS WITH A MEMBRANE-BASED BIDOMAIN MODEL OF THE HUMAN HEART","year":2005,"lang":"en","type":"article","venue":"","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Bidomain model; Human heart; Computer science; Cardiology; Internal medicine; Physics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005851749,0.00009878179,0.0001398465,0.0000319098,0.00005632993,0.00001421847,0.00009236982,0.0000574588,0.00004315494],"category_scores_gemma":[0.000003284857,0.00006640259,0.00005962891,0.00006152139,0.00003337986,0.00005448857,0.00001688222,0.0000776821,0.000006078794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001764783,"about_ca_system_score_gemma":0.00001619753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002989027,"about_ca_topic_score_gemma":0.00003133703,"domain_scores_codex":[0.9994556,0.00001542133,0.0001546557,0.00008733023,0.0001323425,0.0001545939],"domain_scores_gemma":[0.9997537,0.0000123473,0.00001417605,0.000162039,0.00002336315,0.00003441508],"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":[0.00001512997,0.00001054745,0.000006681169,0.00002098319,0.00001236788,2.039568e-7,0.00002189965,0.7192776,0.2803003,0.0002904417,0.0000309419,0.00001289176],"study_design_scores_gemma":[0.0004934343,0.00001411312,0.00001770938,0.00002351191,0.00002158516,8.429006e-7,0.000003562879,0.7896288,0.2095776,0.00009596087,0.00004424447,0.0000786592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907922,0.000004433275,0.0904692,0.0001127968,0.0000675132,0.0001165048,0.00001135497,0.0001459851,0.001150209],"genre_scores_gemma":[0.9948958,4.60191e-7,0.004848607,0.0000879358,0.00007873253,0.000002381246,0.000003630854,0.00002198725,0.00006052543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08697373,"threshold_uncertainty_score":0.2707819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008487787616613444,"score_gpt":0.1872107226375,"score_spread":0.1787229350208865,"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."}}