{"id":"W2049401934","doi":"10.1371/journal.pgen.1003396","title":"Robust Prediction of Expression Differences among Human Individuals Using Only Genotype Information","year":2013,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Cancer Institute; Azrieli Foundation","keywords":"Biology; Gene; Genetics; Genotype; Genetic variation; Computational biology; Set (abstract data type); Variation (astronomy); Expression (computer science); Gene expression; Evolutionary biology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001372181,0.0006055705,0.0008819255,0.0005157369,0.0002768325,0.0005745575,0.0005014717,0.0007980429,0.0004395516],"category_scores_gemma":[0.003197952,0.0003538428,0.0006252463,0.0003829196,0.0005109512,0.0004163061,0.0005075475,0.0008071493,0.0002679522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235432,"about_ca_system_score_gemma":0.0004869154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198099,"about_ca_topic_score_gemma":0.002937228,"domain_scores_codex":[0.9993661,0.0001606894,0.00002570557,0.0003293565,0.0000752767,0.0000428475],"domain_scores_gemma":[0.9984618,0.001104303,0.0001273079,0.0001771483,0.00007992456,0.00004953257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00110328,0.0002542551,0.135812,0.00008357547,0.0004779364,0.0004241047,0.0002077885,0.5465043,0.1238019,0.002643788,0.001038625,0.1876485],"study_design_scores_gemma":[0.00003107742,0.00009435541,0.02000913,0.000006004871,0.00005049663,0.0001371889,0.00002203154,0.9562858,0.01658097,0.00638265,0.000376872,0.00002344046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4849555,0.0002815933,0.5121212,0.0002343853,0.00002441978,0.00004728222,0.0006564371,0.001131453,0.0005476917],"genre_scores_gemma":[0.8589234,0.0001211583,0.1387621,0.0001389463,0.00002980278,0.00005217404,0.001252894,0.00008666774,0.0006329254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00198099,"threshold_uncertainty_score":0.007256925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201886509714594,"score_gpt":0.2091888882000506,"score_spread":0.1871700231029047,"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."}}