{"id":"W4224290018","doi":"10.1093/hmg/ddac079","title":"Integrative multi-omics database (iMOMdb) of Asian pregnant women","year":2022,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Medical Research Council; National University Health System; National Research Foundation","keywords":"Biology; Expression quantitative trait loci; DNA methylation; Omics; Quantitative trait locus; Transcriptome; Genetics; Genotyping; Gene; Computational biology; Bioinformatics; Single-nucleotide polymorphism; Gene expression; Genotype","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":[0.002664562,0.00178449,0.002191098,0.006625117,0.0009237446,0.002363243,0.002081935,0.001300394,0.01228117],"category_scores_gemma":[0.007368009,0.0006435724,0.002114215,0.007334032,0.0002971451,0.001266157,0.00393934,0.00106118,0.005332152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007158,"about_ca_system_score_gemma":0.003071476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008452469,"about_ca_topic_score_gemma":0.01097096,"domain_scores_codex":[0.9985374,0.0002490559,0.0003497414,0.0004937208,0.0002203384,0.0001497115],"domain_scores_gemma":[0.9974578,0.0008467174,0.0004898845,0.0006013541,0.0003603257,0.0002440139],"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":[0.005824486,0.000403458,0.1320301,0.02928348,0.006725064,0.005135445,0.003590984,0.005690603,0.07436829,0.01306841,0.4900347,0.2338449],"study_design_scores_gemma":[0.0005384825,0.0002567806,0.1295441,0.002417574,0.002394941,0.002138173,0.001214391,0.006381244,0.01670654,0.0118765,0.8262664,0.0002649486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0146925,0.00529744,0.009757211,0.0006020422,0.000110679,0.0002435884,0.9569595,0.00790791,0.004429077],"genre_scores_gemma":[0.038508,0.004166468,0.02689753,0.00113094,0.00007773964,0.001236308,0.925866,0.0009816258,0.001135445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01228117,"threshold_uncertainty_score":0.04108465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769931306997459,"score_gpt":0.2789140724368928,"score_spread":0.2612147593669182,"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."}}