{"id":"W4310155435","doi":"10.1111/ppe.12938","title":"Machine learning‐based placental clusters and their associations with adverse pregnancy outcomes","year":2022,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institute on Deafness and Other Communication Disorders; National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health","keywords":"Medicine; Pregnancy; Obstetrics; Fetus; Relative risk; Confidence interval; Gestation; Placenta; Prospective cohort study; Cohort study; Cohort; Cluster (spacecraft); Internal medicine","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":[0.007049535,0.00065472,0.0005584953,0.002132054,0.0006693023,0.001473419,0.0009704502,0.0005517054,0.002282913],"category_scores_gemma":[0.02124548,0.0002789906,0.001327819,0.001867178,0.0008086163,0.0005405098,0.001050928,0.001066373,0.0003311028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197038,"about_ca_system_score_gemma":0.0009094012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007780154,"about_ca_topic_score_gemma":0.00529527,"domain_scores_codex":[0.996912,0.00181653,0.0001977147,0.0005967685,0.0002712975,0.0002056466],"domain_scores_gemma":[0.9870508,0.007486219,0.002946095,0.001236956,0.0008535081,0.0004263928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005739192,0.00006358673,0.9718817,0.00009782886,0.0007459958,0.0001260935,0.0002303259,0.009930247,0.000520144,0.0006344478,0.0007845283,0.01441103],"study_design_scores_gemma":[0.0000756215,0.0002868726,0.899599,0.0001315303,0.0004810494,0.0006109689,0.0004200964,0.09035115,0.0007542873,0.0057768,0.001471396,0.00004134129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749903,0.001348638,0.02022966,0.0005328385,0.00004358912,0.0001267885,0.001318887,0.0001122566,0.001296975],"genre_scores_gemma":[0.9936485,0.0001462556,0.005268883,0.00002612401,0.00001676812,0.00005738446,0.0006609476,0.00001559347,0.0001595776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007780154,"threshold_uncertainty_score":0.03728193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695475211397787,"score_gpt":0.2762414693965446,"score_spread":0.2492867172825668,"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."}}