{"id":"W4411493008","doi":"10.1007/978-3-031-94559-5_9","title":"In Silico Assessment of Arrhythmia Inducibility Dependence on Stimulus Location Using Calibrated MR-Based Infarcted Heart Models","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"Agence Nationale de la Recherche","keywords":"Computer science; In silico; Stimulus (psychology); Artificial intelligence; Chemistry","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":[0.0002260664,0.0002979332,0.0002571503,0.0001781148,0.00007928761,0.0003716583,0.000439546,0.000521788,0.001107692],"category_scores_gemma":[0.0007903215,0.000159305,0.0002769515,0.000121984,0.000166454,0.0001929714,0.0001737695,0.0002240294,0.00025265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708441,"about_ca_system_score_gemma":0.000159891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060933,"about_ca_topic_score_gemma":0.001115498,"domain_scores_codex":[0.999928,0.00002090776,0.000005512525,0.00001532282,0.00002255738,0.00000772479],"domain_scores_gemma":[0.9996455,0.0002416611,0.00003049566,0.0000274614,0.00004327347,0.0000116606],"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":[0.0004209841,0.000176719,0.002691509,0.0002589335,0.00005964541,0.0002623645,0.0001168623,0.8519565,0.1222844,0.0008134765,0.0006111786,0.02034727],"study_design_scores_gemma":[0.00001560788,0.0002427324,0.001935104,0.00001275713,0.00002724751,0.00009582704,0.00001904761,0.9759833,0.02108024,0.000264538,0.0003091786,0.00001437271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7849645,0.0005786046,0.2075972,0.0001700194,0.00007190774,0.00008411171,0.0008363591,0.0008095192,0.00488784],"genre_scores_gemma":[0.9868548,0.0001808482,0.01193326,0.00002371998,0.000005112042,0.00002402594,0.0001913011,0.00002544192,0.0007616566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001107692,"threshold_uncertainty_score":0.003705621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060306343201601,"score_gpt":0.3565233223309595,"score_spread":0.3159202588989434,"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."}}