{"id":"W3003079370","doi":"10.3389/fendo.2019.00940","title":"Why and How Imprinted Genes Drive Fetal Programming","year":2020,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Genomic imprinting; Offspring; Intrauterine growth restriction; Biology; Fetus; Disease; Imprinting (psychology); Endocrinology; Internal medicine; Gene; Bioinformatics; Pregnancy; Physiology; Genetics; Gene expression; Medicine; DNA methylation","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":[],"consensus_categories":[],"category_scores_codex":[0.00003525482,0.0001534596,0.0002024514,0.00005317514,0.00004152361,0.00002493628,0.0001628744,0.0001033002,0.000005365594],"category_scores_gemma":[0.00008272482,0.0001580046,0.00005045574,0.00008722831,0.0001333478,0.000003598843,0.0002608873,0.0001211508,0.000001579547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000775297,"about_ca_system_score_gemma":0.00002002403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001543634,"about_ca_topic_score_gemma":0.00001312761,"domain_scores_codex":[0.9989118,0.00005341708,0.0001274625,0.0004344029,0.00005639389,0.0004165045],"domain_scores_gemma":[0.9996582,0.000004245855,0.00005324271,0.000159212,0.00002720077,0.00009784885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003957498,0.00003918237,0.427016,0.00005658497,0.0001383073,0.0000453949,0.0002456849,0.00002411442,0.2596765,0.00005597189,0.007660093,0.3050026],"study_design_scores_gemma":[0.002323957,0.001047872,0.04445406,0.00001531037,0.00003869015,0.0003248203,0.002353184,0.001730341,0.1366671,0.00009238679,0.8103309,0.0006213894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610166,0.004069628,0.02943753,0.004612897,0.0004250229,0.0002326516,0.000003462374,0.00002496046,0.0001772774],"genre_scores_gemma":[0.9632117,0.0006647306,0.03481644,0.000990173,0.0001542595,0.00002826526,0.00002057917,0.00002260895,0.0000912285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8026708,"threshold_uncertainty_score":0.6443239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0096604366547733,"score_gpt":0.2193168116689431,"score_spread":0.2096563750141698,"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."}}