{"id":"W3160516983","doi":"10.1016/j.ajogmf.2021.100394","title":"Use of the angiogenic biomarker profile to risk stratify patients with fetal growth restriction","year":2021,"lang":"en","type":"article","venue":"American Journal of Obstetrics & Gynecology MFM","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Encana (Canada)","funders":"Roche","keywords":"Medicine; Placental growth factor; Preeclampsia; Pregnancy; Soluble fms-like tyrosine kinase-1; Intrauterine growth restriction; Obstetrics; Small for gestational age; Gestational age; Biomarker; Fetus; Prospective cohort study; Quartile; Internal medicine; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001333644,0.0004433987,0.0006186132,0.001390094,0.0004220438,0.0009105612,0.0002850735,0.0005321273,0.0009425427],"category_scores_gemma":[0.004004144,0.0001659195,0.000596258,0.001340024,0.0002013537,0.0005756074,0.0003989383,0.0008439654,0.0001559232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384507,"about_ca_system_score_gemma":0.0006416108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993159,"about_ca_topic_score_gemma":0.00183622,"domain_scores_codex":[0.9994389,0.0002645852,0.00005616361,0.0000817723,0.00009437505,0.0000641504],"domain_scores_gemma":[0.9989104,0.0004527995,0.0002980901,0.00007709526,0.0001132804,0.0001484005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006741289,0.0000952948,0.9849454,0.00004449287,0.0003174288,0.00009330273,0.00007729787,0.00006265094,0.0004580137,0.0001236749,0.000170145,0.01293812],"study_design_scores_gemma":[0.00007954509,0.001012935,0.994202,0.00007874727,0.0005607454,0.0005591945,0.0003110457,0.000540775,0.0005936868,0.0004125706,0.001632552,0.00001622711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894015,0.006332941,0.0005566506,0.0005016823,0.00006197021,0.00003990058,0.0006197556,0.000009260461,0.002476371],"genre_scores_gemma":[0.996904,0.001459562,0.0005471902,0.0001280638,0.00005919536,0.00003948401,0.0003858076,0.000002564497,0.0004741511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001993159,"threshold_uncertainty_score":0.007053018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835083949422556,"score_gpt":0.2460478828709262,"score_spread":0.2276970433767006,"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."}}