{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007783673,0.001118193,0.0005684681,0.002146064,0.0004193636,0.001119297,0.0009387339,0.0005329728,0.005502189],"category_scores_gemma":[0.01833189,0.0003529867,0.0008729059,0.001804692,0.0002945918,0.0007585916,0.0008363154,0.0007621432,0.00266433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002613328,"about_ca_system_score_gemma":0.0007265332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115123,"about_ca_topic_score_gemma":0.001566396,"domain_scores_codex":[0.9947011,0.00227233,0.0005990285,0.0007824675,0.001515203,0.0001298198],"domain_scores_gemma":[0.9915965,0.003784235,0.000535035,0.001134259,0.002751272,0.0001987192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007518845,0.0003538544,0.04259634,0.0009920854,0.0002928443,0.0003421973,0.001395379,0.002399566,0.04122439,0.004599954,0.005695598,0.8993558],"study_design_scores_gemma":[0.0005050122,0.008011119,0.5198025,0.00198804,0.001096301,0.008355041,0.002305683,0.1198307,0.08541705,0.01243831,0.2394957,0.0007545473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02588009,0.001806778,0.9632739,0.0001318266,0.0001670246,0.001545359,0.001787878,0.001350515,0.004056615],"genre_scores_gemma":[0.08654562,0.00189814,0.8978001,0.00008726199,0.0001694423,0.006071022,0.002925538,0.0006126365,0.003890243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007783673,"threshold_uncertainty_score":0.04116446,"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."}}