{"id":"W2045615262","doi":"10.1101/gr.084798.108","title":"Targeted screening of <i>cis-</i> regulatory variation in human haplotypes","year":2008,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; McGill University and Génome Québec Innovation Centre","funders":"Genome Canada","keywords":"Biology; Genetics; Haplotype; Gene; Human genome; Single-nucleotide polymorphism; Allele; Expression quantitative trait loci; Genome; Computational biology; 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":[0.0007155929,0.00007751935,0.000120173,0.0001516293,0.0001299208,0.000007391607,0.0002263516,0.000118989,0.00002438686],"category_scores_gemma":[0.00004876378,0.00008426105,0.00004374472,0.000211701,0.000129318,0.00000280136,0.0001619384,0.0001435489,0.00000554546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002714245,"about_ca_system_score_gemma":0.000101451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000107968,"about_ca_topic_score_gemma":0.00004859862,"domain_scores_codex":[0.9988791,0.0001146031,0.0002284057,0.0002434055,0.000249626,0.0002848977],"domain_scores_gemma":[0.9993877,0.00001267673,0.00005195378,0.0003405183,0.0001543859,0.00005275573],"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":[0.00002956718,0.00004695942,0.003564683,0.00001937379,0.00001625582,0.000004531893,0.0001759428,0.0007186568,0.9949554,0.000206891,0.00008598353,0.0001758021],"study_design_scores_gemma":[0.001335145,0.0009007918,0.7706917,0.00002811256,0.000005790045,0.00002563781,0.0001860761,0.001217875,0.2196583,0.000922676,0.004669806,0.0003581515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971535,0.0006821448,0.000831915,0.00002602883,0.00001750691,0.0001503224,0.00001220455,0.000004735654,0.001121663],"genre_scores_gemma":[0.997345,0.0001870526,0.001738819,0.00001136716,0.00008145063,0.00001179552,0.00009961821,0.00002034425,0.0005045881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7752971,"threshold_uncertainty_score":0.3436066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567392940894271,"score_gpt":0.3015331449639767,"score_spread":0.2658592155550339,"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."}}