{"id":"W4366462970","doi":"10.1002/bdr2.2177","title":"Methods for analyzing infant heart rate variability: A preliminary study","year":2023,"lang":"en","type":"article","venue":"Birth Defects Research","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"East Carolina University; American Heart Association","keywords":"Heart rate variability; Scripting language; Heart rate; Autonomic nervous system; Reliability (semiconductor); RR interval; Protocol (science); MATLAB; Medicine; Statistics; Audiology; Computer science; Mathematics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03804518,0.0002039879,0.0006733688,0.0007668912,0.0004386171,0.00009965695,0.0001940632,0.0001501391,0.0001610608],"category_scores_gemma":[0.01265839,0.0001722015,0.0002459688,0.002109763,0.0001466963,0.0001074353,0.000304512,0.0006821732,0.0002802338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940017,"about_ca_system_score_gemma":0.000925244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001695806,"about_ca_topic_score_gemma":0.00001736979,"domain_scores_codex":[0.9934831,0.003689904,0.0005281819,0.0008420282,0.000397702,0.001059056],"domain_scores_gemma":[0.9880499,0.01002781,0.00003938556,0.0009939796,0.0005112671,0.000377678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004869946,0.004476157,0.3499816,0.003398489,0.001147829,0.0002675733,0.007354081,0.0003465087,0.3949341,0.001945967,0.006765062,0.2245127],"study_design_scores_gemma":[0.005854566,0.007349961,0.7408581,0.0001659834,0.0001693733,0.0000220336,0.001322584,0.0554589,0.005185788,0.003848889,0.1793601,0.0004036604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844283,0.0001550403,0.004663908,0.003401317,0.0001889062,0.006349855,0.00001930454,0.0003342371,0.0004591686],"genre_scores_gemma":[0.9906313,0.00002043976,0.00524997,0.0001673434,0.0002518129,0.001280523,0.00002086996,0.00005249909,0.002325202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3908766,"threshold_uncertainty_score":0.9956584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317089040215368,"score_gpt":0.487385446988052,"score_spread":0.3556765429665153,"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."}}