{"id":"W4280591405","doi":"10.1111/jch.14500","title":"Association between gestational visit‐to‐visit blood pressure variability and adverse neonatal outcomes","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Hypertension","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Fonds de Recherche du Québec - Santé; National Natural Science Foundation of China","keywords":"Medicine; Quartile; Blood pressure; Gestational age; Preeclampsia; Obstetrics; Fetal distress; Gestational hypertension; Internal medicine; Small for gestational age; Gestation; Apgar score; Pregnancy; Confidence interval; Fetus","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001278863,0.0003030889,0.0004850557,0.0003597071,0.0001932898,0.0005293993,0.0004200487,0.00058083,0.0008417588],"category_scores_gemma":[0.007578755,0.0002723534,0.001034154,0.000800825,0.0001392555,0.0002426115,0.0004119418,0.0007631904,0.00009327864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002696639,"about_ca_system_score_gemma":0.0003286717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004333051,"about_ca_topic_score_gemma":0.004842164,"domain_scores_codex":[0.9988412,0.0004820349,0.0001023708,0.0002508496,0.0002249371,0.00009857394],"domain_scores_gemma":[0.994521,0.002501107,0.001951134,0.0003772704,0.0003704216,0.000279074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001925309,0.00001359621,0.9969437,0.00002570756,0.0003610337,0.00006645218,0.00003903938,0.00005543235,0.0001600839,0.00001721351,0.00005644071,0.002068858],"study_design_scores_gemma":[0.000005787933,0.0001464918,0.9987354,0.00001267332,0.0001712523,0.0002263706,0.00004445423,0.0004118814,0.0001046124,0.00003652881,0.0001004381,0.000004147217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966912,0.001681886,0.0005339253,0.000145075,0.00002852024,0.000005652258,0.0005184964,0.00001126011,0.0003839449],"genre_scores_gemma":[0.999028,0.0003309211,0.0002096503,0.0000400433,0.00002024517,0.000008520825,0.0002307482,0.000003145825,0.0001287814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004333051,"threshold_uncertainty_score":0.008615673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004590446150944,"score_gpt":0.3469317681162888,"score_spread":0.2968858636547794,"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."}}