{"id":"W2156010838","doi":"10.15252/msb.20145114","title":"Allelic expression mapping across cellular lineages to establish impact of non‐coding SNPs","year":2014,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University and Génome Québec Innovation Centre","funders":"Science for Life Laboratory; Knut och Alice Wallenbergs Stiftelse; British Heart Foundation; Vetenskapsrådet; Canadian Institutes of Health Research; National Institute for Health and Care Research; Genome Canada","keywords":"Biology; Single-nucleotide polymorphism; International HapMap Project; Genetics; Genome-wide association study; SNP; Transcription factor; Allele; Computational biology; Genetic association; Gene; Genotype","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":[0.0005033638,0.0002740229,0.0004222729,0.00008459399,0.00008808963,0.00004258891,0.0004217688,0.0003535657,0.000004859732],"category_scores_gemma":[0.0001383681,0.0002423036,0.0002370069,0.000136011,0.0000637183,0.000003342827,0.0003531006,0.0001034534,0.00001147102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003257988,"about_ca_system_score_gemma":0.00004811089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001932036,"about_ca_topic_score_gemma":0.00001017701,"domain_scores_codex":[0.9982061,0.00019177,0.0004852257,0.0005279571,0.00009777699,0.0004911874],"domain_scores_gemma":[0.9987332,0.00001823726,0.0002426213,0.0007004011,0.0001488981,0.0001566888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002084992,0.00003125886,0.002743961,0.00006946929,0.00007444069,0.000003366418,0.0001303188,0.004251885,0.9917185,0.00007638775,0.0002413266,0.0006382733],"study_design_scores_gemma":[0.0009291514,0.001134743,0.003320278,0.0001483605,0.00001942592,0.00003357561,0.0002460981,0.01294562,0.9707009,0.00004032326,0.009857512,0.0006240188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7616644,0.0004186077,0.2370086,0.00001760544,0.0002679288,0.0002609131,0.00004501485,0.00001246661,0.0003044728],"genre_scores_gemma":[0.9974319,0.00003289196,0.001775609,0.00007602644,0.0002253363,0.00003754505,0.0002563006,0.00004535152,0.0001190889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2357674,"threshold_uncertainty_score":0.9880853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007261863880256988,"score_gpt":0.2651037690911596,"score_spread":0.2578419052109026,"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."}}