{"id":"W4409787324","doi":"10.1016/j.cmpb.2025.108784","title":"Automated strength-interval curve generation using actors","year":2025,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interval (graph theory); Computer science; Statistics; Mathematics; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006346131,0.0001634077,0.000465634,0.0002889747,0.0000614633,0.00001909936,0.00004555497,0.0001430329,0.000007912555],"category_scores_gemma":[0.0000363385,0.0001252574,0.00007287433,0.0005812254,0.0001753467,0.00004139149,0.00007292061,0.0002283744,6.058711e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000501531,"about_ca_system_score_gemma":0.00005812485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004174222,"about_ca_topic_score_gemma":0.000002881156,"domain_scores_codex":[0.9987533,0.0002865233,0.0003146108,0.0003233417,0.00007836667,0.000243836],"domain_scores_gemma":[0.9995164,0.0001040577,0.00005545099,0.0001894295,0.00005801689,0.00007670661],"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":[0.00009937676,0.0001223869,0.006705444,0.0001194699,0.0001324335,0.00009000424,0.0002116956,0.0000114864,0.04352399,0.0002246053,0.0003945049,0.9483646],"study_design_scores_gemma":[0.004304912,0.001710466,0.05202518,0.0009797448,0.0002807878,0.0004059684,0.00007850575,0.9211407,0.007260349,0.0005541435,0.01092961,0.0003296012],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8609139,0.001648306,0.1350469,0.0006916038,0.001054328,0.0003826164,0.000001071828,0.0001829968,0.00007826734],"genre_scores_gemma":[0.5370322,0.0001277682,0.4612125,0.000685686,0.0007631663,0.00001557469,0.00008930742,0.00001210876,0.00006172871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.948035,"threshold_uncertainty_score":0.510785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05913321937470458,"score_gpt":0.4073001290187669,"score_spread":0.3481669096440623,"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."}}