{"id":"W4394553404","doi":"10.6084/m9.figshare.7861346.v1","title":"Locus-specific DNA methylation prediction in cord blood and placenta","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"DNA methylation; Cord blood; Placenta; Locus (genetics); Methylation; Genetics; Biology; Obstetrics; Andrology; DNA; Pregnancy; Medicine; Gene; Fetus; Gene expression","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":[0.001047879,0.001413957,0.001103637,0.001245936,0.0005414119,0.000894775,0.002013938,0.001507401,0.007768824],"category_scores_gemma":[0.004437151,0.0003968923,0.001414032,0.001516999,0.0003201768,0.0004027737,0.001034842,0.001144242,0.005393582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009294181,"about_ca_system_score_gemma":0.001007094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01957951,"about_ca_topic_score_gemma":0.0307174,"domain_scores_codex":[0.9992973,0.0001566261,0.00005152002,0.0003434118,0.00007381522,0.00007739028],"domain_scores_gemma":[0.9992372,0.0003546412,0.00007120667,0.000164428,0.0001108532,0.00006165815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003425969,0.0003805545,0.1154334,0.004559484,0.001286293,0.001477846,0.000249925,0.04135699,0.009668426,0.002853111,0.7320904,0.08721764],"study_design_scores_gemma":[0.00260021,0.0005834685,0.166404,0.0008935437,0.001077383,0.002992563,0.0003763762,0.1423295,0.01847232,0.01154416,0.6524666,0.0002597882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04018248,0.001641494,0.003812793,0.0004172819,0.0001148981,0.00007467876,0.950027,0.002122947,0.001606576],"genre_scores_gemma":[0.03405537,0.0002750478,0.005600679,0.0001577666,0.00001309838,0.000160239,0.9585727,0.00009455274,0.001070564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01957951,"threshold_uncertainty_score":0.03893107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090220894565948,"score_gpt":0.2702263178527751,"score_spread":0.2393241089071156,"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."}}