{"id":"W4402464089","doi":"10.11159/icbes24.152","title":"Visibility Graph Analysis of Heart Variability Series","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Visibility graph; Visibility; Computer science; Series (stratigraphy); Graph; Time series; Theoretical computer science; Mathematics; Machine learning; Geology; Geography; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443209,0.00009446672,0.0002683651,0.000344335,0.0002380426,0.000194591,0.0002715555,0.00002713099,4.445374e-7],"category_scores_gemma":[0.000126132,0.00006577634,0.00007191885,0.003694639,0.0004537848,0.0001867413,0.00008812747,0.0001381492,5.786245e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003309438,"about_ca_system_score_gemma":0.00004614284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009767588,"about_ca_topic_score_gemma":0.000003785573,"domain_scores_codex":[0.998832,0.00001534817,0.0002206929,0.0003337093,0.0003721892,0.0002260883],"domain_scores_gemma":[0.9993632,0.0002334569,0.00005925787,0.00008674572,0.0001674937,0.00008977774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001784571,0.00006700424,0.01678905,0.0003935127,0.0001999857,6.173827e-7,0.001374982,0.01361894,0.00240386,0.9513165,0.0001542196,0.01366353],"study_design_scores_gemma":[0.00005286735,0.00008815318,0.01541378,0.0002582927,0.00007685458,0.00000290995,0.00004518902,0.98023,0.0006512674,0.0007988146,0.002236989,0.0001449083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923876,0.0007328331,0.003653652,0.000539739,0.0016943,0.0002419718,0.000003932344,0.0001488841,0.0005970742],"genre_scores_gemma":[0.9989144,0.00001932322,0.0007867442,0.000008810134,0.00008581419,0.00000377089,4.263094e-8,0.000003207236,0.0001778456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.966611,"threshold_uncertainty_score":0.2682281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006764093109977065,"score_gpt":0.2505885666264032,"score_spread":0.2438244735164261,"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."}}