{"id":"W2120494583","doi":"10.1101/gr.095224.109","title":"Population genomics in a disease targeted primary cell model","year":2009,"lang":"en","type":"article","venue":"Genome Research","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; McGill University; McGill University and Génome Québec Innovation Centre","funders":"Canadian Institutes of Health Research; Uppsala Universitet; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Biology; Genomics; Population genomics; Disease; Population; Genetics; Computational biology; Evolutionary biology; Genome; Demography; Gene; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002139556,0.0003697061,0.0008479361,0.000583368,0.0002942291,0.000869049,0.0007190974,0.0008153438,0.004015107],"category_scores_gemma":[0.002208303,0.0002264398,0.0008684463,0.0006964622,0.0004406762,0.0003102687,0.0007218888,0.0008374486,0.0007484554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382539,"about_ca_system_score_gemma":0.0004520348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003620691,"about_ca_topic_score_gemma":0.004060845,"domain_scores_codex":[0.9991436,0.0004026813,0.00002610277,0.0003073231,0.00008075483,0.00003958925],"domain_scores_gemma":[0.9990802,0.0005700627,0.00007057092,0.0001791505,0.00006436639,0.00003563084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00234149,0.001010833,0.1105309,0.0008818146,0.002361087,0.004978358,0.002005607,0.144405,0.2465564,0.3561126,0.01568063,0.1131353],"study_design_scores_gemma":[0.001957071,0.002715818,0.1034068,0.000169535,0.001946336,0.006163979,0.0006707252,0.5511759,0.01979857,0.2501583,0.06162076,0.0002162052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5360885,0.001286248,0.440423,0.001672972,0.0001855132,0.0006005618,0.007352825,0.0006935558,0.01169675],"genre_scores_gemma":[0.8210458,0.001686758,0.1529015,0.001813646,0.0001030643,0.002184512,0.007779974,0.0001508788,0.012334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004015107,"threshold_uncertainty_score":0.01343191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03581844308125943,"score_gpt":0.3302875618994994,"score_spread":0.2944691188182399,"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."}}