{"id":"W4315642112","doi":"10.1016/j.ajogmf.2022.100850","title":"Use of family history of cardiovascular disease or chronic hypertension to better identify who needs postpartum cardiovascular risk screening","year":2023,"lang":"en","type":"article","venue":"American Journal of Obstetrics & Gynecology MFM","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre","funders":"Queen's University; Yale University","keywords":"Medicine; Family history; Pregnancy; Body mass index; Disease; Stroke (engine); Risk factor; First-degree relatives; Gestational hypertension; Obstetrics; Preeclampsia; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007835922,0.0002258141,0.000380346,0.0007788809,0.0007638889,0.0006138798,0.0004260911,0.0005380233,0.002626907],"category_scores_gemma":[0.004791467,0.0002172986,0.0008942747,0.001118134,0.0001340775,0.0008287912,0.0003393416,0.0009857359,0.0002129994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351911,"about_ca_system_score_gemma":0.0009949782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01747768,"about_ca_topic_score_gemma":0.02927483,"domain_scores_codex":[0.9995402,0.0001727128,0.00006846754,0.0000692342,0.00006949218,0.00007984866],"domain_scores_gemma":[0.9987718,0.0004679318,0.0003552697,0.00009162621,0.0001267816,0.0001865373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001075473,0.0001864311,0.9904171,0.00007374599,0.0001768762,0.0001187482,0.0002432763,0.00002136769,0.00006470237,0.00008136884,0.0006480544,0.007860839],"study_design_scores_gemma":[0.00002517945,0.000214402,0.9970127,0.0001193691,0.000250835,0.0002045916,0.0007623757,0.0001255728,0.00005357112,0.0001292073,0.00109638,0.000005796141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857259,0.003837346,0.0002562052,0.001513803,0.0001213831,0.00008881829,0.001794459,0.000007894688,0.006654214],"genre_scores_gemma":[0.9942479,0.001705016,0.0004522968,0.0006542059,0.00006429284,0.0001099013,0.0009679584,0.000003638975,0.001794851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01747768,"threshold_uncertainty_score":0.03475189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05683520956788977,"score_gpt":0.2672493238657198,"score_spread":0.21041411429783,"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."}}