{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004360932,0.0003901621,0.0004388501,0.002734765,0.0003942323,0.0009741334,0.0004421297,0.0003840377,0.003083364],"category_scores_gemma":[0.003920879,0.0002086894,0.0005732742,0.001655882,0.0003376871,0.0006965217,0.0006431095,0.000574304,0.000466101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003234248,"about_ca_system_score_gemma":0.0004417712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0055987,"about_ca_topic_score_gemma":0.004149632,"domain_scores_codex":[0.9997433,0.0000618433,0.00001265794,0.00006996379,0.00007129561,0.00004102116],"domain_scores_gemma":[0.9979367,0.001166211,0.0002183882,0.0002273299,0.0003287039,0.0001227054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009130015,0.0002635235,0.0391106,0.000401324,0.0003245632,0.0009707999,0.0007373598,0.2046184,0.05540878,0.09771268,0.01462855,0.5849104],"study_design_scores_gemma":[0.00001399658,0.00006244184,0.0196369,0.00002452104,0.00005592672,0.0002557165,0.0001281634,0.9343697,0.004321279,0.03636566,0.004741384,0.00002427524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2801786,0.0007603067,0.7115611,0.0003910705,0.0001337314,0.00004903512,0.00130785,0.001383826,0.004234455],"genre_scores_gemma":[0.9508888,0.0004660474,0.04453514,0.00003560253,0.0001180713,0.0000280401,0.001396714,0.000314742,0.0022169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0055987,"threshold_uncertainty_score":0.01113224,"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."}}