{"id":"W4402885796","doi":"10.1016/j.compbiomed.2024.109195","title":"Effects of spatially dense adrenergic stimulation to rotor behaviour in simulated atrial sheets","year":2024,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Adrenergic; Rotor (electric); Stimulation; Internal medicine; Cardiology; Materials science; Anesthesia; Computer science; Medicine; Physics; Receptor","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00014435,0.0002087224,0.0001724482,0.0001499991,0.0001352171,0.0002585573,0.000200238,0.0002746036,0.0007666795],"category_scores_gemma":[0.0005399897,0.0001002123,0.0002587815,0.0001030314,0.0002199307,0.0001521194,0.0002190741,0.0001907733,0.00007790921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301339,"about_ca_system_score_gemma":0.000135243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006500342,"about_ca_topic_score_gemma":0.0006309217,"domain_scores_codex":[0.9999386,0.00001645073,0.000005245276,0.00001096469,0.0000165843,0.00001212059],"domain_scores_gemma":[0.9997264,0.0001491612,0.0000440338,0.00002957756,0.0000263367,0.00002459856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007899533,0.0001979396,0.0102819,0.0002374435,0.0000846501,0.0008461729,0.0004928872,0.4680057,0.4982606,0.001503213,0.0006221379,0.01867754],"study_design_scores_gemma":[0.00008448609,0.001397699,0.01972879,0.00006364755,0.00009087715,0.0004183767,0.0004322826,0.8407138,0.132555,0.001585201,0.002872272,0.00005751586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894778,0.0001401287,0.008902888,0.00004750437,0.00002397232,0.00001439365,0.0001006576,0.00007477158,0.00121791],"genre_scores_gemma":[0.9968669,0.00009145799,0.002748267,0.00001723602,0.000002625104,0.00001694362,0.00005743269,0.000007980141,0.0001912657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007666795,"threshold_uncertainty_score":0.002564728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242431927447245,"score_gpt":0.3634149173705027,"score_spread":0.3391717246257782,"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."}}