{"id":"W2130981336","doi":"10.1017/s204017441300010x","title":"Developmental programming of cardiovascular disease by prenatal hypoxia","year":2013,"lang":"en","type":"article","venue":"Journal of Developmental Origins of Health and Disease","topic":"Birth, Development, and Health","field":"Medicine","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute","funders":"Biotechnology and Biological Sciences Research Council; Isaac Newton Trust; Directorate for Biological Sciences; Canadian Institutes of Health Research; University of Cambridge; University of Alberta; Children's Health Research Institute; Women and Children's Health Research Institute; Lister Institute of Preventive Medicine; British Heart Foundation; Alberta Innovates; Heart and Stroke Foundation of Canada","keywords":"Hypoxia (environmental); Pregnancy; Offspring; Disease; Medicine; Fetal programming; Fetus; Metabolic syndrome; Psychological intervention; Bioinformatics; Physiology; Intensive care medicine; Obesity; Internal medicine; Biology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006951021,0.0003061301,0.0009948595,0.0003159672,0.0001737727,0.00002456969,0.0001690448,0.00006894862,0.00008312245],"category_scores_gemma":[0.0002384331,0.0002497136,0.0003038769,0.0002749017,0.0001889475,0.0003731879,0.00008239647,0.0002646108,0.000009396143],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360272,"about_ca_system_score_gemma":0.009509621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002220759,"about_ca_topic_score_gemma":0.000001719312,"domain_scores_codex":[0.9963665,0.00009198114,0.001640808,0.0003005143,0.001042164,0.0005580074],"domain_scores_gemma":[0.9953765,0.00004173905,0.0007794001,0.0001525652,0.0003553581,0.003294469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003224408,0.003135254,0.7156004,0.01325517,0.002593456,0.0003064321,0.002794852,0.000004837022,0.001005918,0.002165299,0.0147224,0.2411916],"study_design_scores_gemma":[0.0156236,0.001746239,0.8710069,0.004435606,0.0007732011,0.0007293073,0.005223036,0.00004247617,0.002720529,0.002258812,0.09433498,0.001105301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738705,0.02313054,0.0002420421,0.001331264,0.0001818197,0.0009995208,0.00005926672,0.00001856601,0.000166525],"genre_scores_gemma":[0.953864,0.0202617,0.02468895,0.0009635737,0.00007158246,0.00002744523,0.00006473471,0.00003343109,0.00002459075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2400863,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781221131369959,"score_gpt":0.2711216351402858,"score_spread":0.2533094238265862,"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."}}