{"id":"W2167002920","doi":"10.1139/g10-103","title":"Analysis of allelic differential expression in the human genome using allele-specific serial analysis of gene expression tags","year":2011,"lang":"en","type":"article","venue":"Genome","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Serial analysis of gene expression; Allele; Biology; Gene; Genetics; SAGE; Phenotype; Candidate gene; Gene expression; Human genome; Genome; Gene expression profiling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000540467,0.0002072338,0.0002275338,0.0004791108,0.0001148894,0.000281039,0.0001397708,0.0001010489,0.0005039592],"category_scores_gemma":[0.001057905,0.0001048169,0.0004054575,0.0006027357,0.0002004151,0.0001340592,0.0001462495,0.0002325187,0.0001497947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001233634,"about_ca_system_score_gemma":0.0001421683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003511034,"about_ca_topic_score_gemma":0.0006517286,"domain_scores_codex":[0.9997631,0.00006037382,0.00001751134,0.00007249891,0.00007186059,0.00001473188],"domain_scores_gemma":[0.9995006,0.0003178224,0.00007887524,0.0000471364,0.00003796948,0.00001755298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005304642,0.0001188719,0.08135813,0.0001962661,0.0002712691,0.0003702896,0.0001339015,0.01691482,0.8442785,0.002219261,0.0002351549,0.05337304],"study_design_scores_gemma":[0.00005636168,0.0007582287,0.2498332,0.00001741735,0.0002319785,0.001787791,0.00012111,0.2195291,0.5182068,0.005148676,0.004253462,0.0000559395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083508,0.0002020797,0.08976435,0.00003179528,0.00000750863,0.00003425738,0.0007191651,0.0002324502,0.0006575591],"genre_scores_gemma":[0.9527745,0.000204658,0.04477634,0.00003516941,0.000006941546,0.00004689529,0.001749472,0.00004504284,0.0003609489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000540467,"threshold_uncertainty_score":0.002858281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404561966428253,"score_gpt":0.2420236059472784,"score_spread":0.2179779862829959,"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."}}