{"id":"W2893205282","doi":"10.1016/j.preghy.2018.08.131","title":"342. Association between Tumor Necrosis Factor Alpha (TNF-α) polymorphisms and haplotypes and preeclampsia risk","year":2018,"lang":"en","type":"article","venue":"Pregnancy Hypertension","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Preeclampsia; Haplotype; Single-nucleotide polymorphism; Genotyping; Minor allele frequency; Allele; Blood pressure; Restriction fragment length polymorphism; Tumor necrosis factor alpha; Allele frequency; Internal medicine; Pregnancy; Medicine; Pathogenesis; Immunology; Genotype; Biology; Genetics; Gene","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":[0.0004758205,0.0002821643,0.0002556089,0.0003745788,0.0004394415,0.0003629093,0.0001935187,0.0003497342,0.004204469],"category_scores_gemma":[0.001765001,0.0002725077,0.0005017656,0.0009165831,0.0001657563,0.0002386591,0.0001749294,0.0005487668,0.000599821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247106,"about_ca_system_score_gemma":0.0002584671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002332336,"about_ca_topic_score_gemma":0.00163386,"domain_scores_codex":[0.9995635,0.0001881041,0.00005232372,0.00008859289,0.00004357624,0.00006383943],"domain_scores_gemma":[0.9993681,0.0002326309,0.0001854954,0.00006460273,0.00005516792,0.00009396791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00206755,0.0001798766,0.9851317,0.00007573014,0.0005684692,0.0004175522,0.0003715175,0.00006844055,0.004181147,0.0001451001,0.0003968379,0.006395974],"study_design_scores_gemma":[0.0001289321,0.0007824982,0.9943215,0.0000308185,0.0006959228,0.0007785545,0.0003140161,0.0002501996,0.0009183282,0.0002498231,0.001519115,0.00001040081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971629,0.0006704092,0.0004503035,0.0001082573,0.00003590826,0.00001198128,0.0004669424,0.000004848725,0.001088562],"genre_scores_gemma":[0.9972578,0.0002067785,0.0002317579,0.0000563435,0.00002441367,0.00002396031,0.0002915647,0.000004280678,0.001903245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004204469,"threshold_uncertainty_score":0.01406538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687890258176604,"score_gpt":0.2507040051170236,"score_spread":0.2238251025352575,"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."}}