{"id":"W1980436361","doi":"10.1371/journal.pcbi.1000849","title":"Computational Analysis of Whole-Genome Differential Allelic Expression Data in Human","year":2010,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University and Génome Québec Innovation Centre; McGill University","funders":"Genome Canada","keywords":"International HapMap Project; Biology; Genetics; Genome; Computational biology; Human genome; Genomics; Genotyping; Allele; 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":[0.0002546253,0.0001344755,0.0003433099,0.000261089,0.00007246908,0.000006692785,0.0004292749,0.0002359006,0.0001311333],"category_scores_gemma":[0.000182644,0.0001293944,0.00008994764,0.0002454464,0.0001502501,0.00000430229,0.0003303358,0.0001512156,0.000005648475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008348555,"about_ca_system_score_gemma":0.00006808824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003761295,"about_ca_topic_score_gemma":0.0001763019,"domain_scores_codex":[0.9985483,0.0001744197,0.0004850611,0.0004790836,0.0001087024,0.0002044507],"domain_scores_gemma":[0.9990494,0.0001397328,0.0002253275,0.0003894599,0.0001426612,0.00005346765],"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":[0.00001949478,0.0002287696,0.2023591,0.000005320087,0.0004240004,4.594064e-7,0.00003722711,0.06886768,0.7269884,0.0007882992,0.0001140958,0.0001671426],"study_design_scores_gemma":[0.0006984414,0.00013292,0.9114808,0.000003347636,0.0001380372,0.000002144367,0.00002390987,0.08133207,0.0007030572,0.004467206,0.000814774,0.0002033203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758896,0.0000490975,0.02288722,0.0002152503,0.00008197298,0.0001121478,0.0006385873,0.00000750752,0.0001186859],"genre_scores_gemma":[0.9546951,0.000004993214,0.01084108,0.0001177982,0.0001127669,0.00001204234,0.03418141,0.000009451845,0.00002534391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7262854,"threshold_uncertainty_score":0.5276549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943270291480179,"score_gpt":0.3112476784678299,"score_spread":0.2818149755530281,"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."}}