{"id":"W1974042140","doi":"10.1186/1471-2156-6-s1-s59","title":"Linkage and association analysis in pedigrees from different populations","year":2005,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Population Health Research Institute; University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Pedigree chart; Linkage (software); Population stratification; Population; Genetic linkage; Biology; Confusion; Genetic association; Nonparametric statistics; Genetics; Random effects model; Statistics; Evolutionary biology; Demography; Psychology; Meta-analysis; Mathematics; Medicine; Genotype; Gene","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":[0.04367593,0.0004538365,0.001093115,0.003296584,0.001150007,0.00192307,0.001203503,0.001039501,0.001715193],"category_scores_gemma":[0.07153585,0.0006111516,0.001904899,0.004798891,0.00093987,0.001045204,0.001891251,0.001164045,0.0002929717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008783675,"about_ca_system_score_gemma":0.001369251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003261474,"about_ca_topic_score_gemma":0.002831395,"domain_scores_codex":[0.9650645,0.02993539,0.0009951877,0.002375051,0.001267663,0.0003622123],"domain_scores_gemma":[0.9581075,0.03254739,0.00188344,0.005478318,0.001572041,0.0004113057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002620981,0.0005511864,0.4147598,0.0005488747,0.005653353,0.00218384,0.002506643,0.3923648,0.01042162,0.03964767,0.004406778,0.1243345],"study_design_scores_gemma":[0.001410497,0.0009029922,0.3045581,0.000180933,0.001420342,0.001839543,0.0007244472,0.5701204,0.005775596,0.09685508,0.01585689,0.0003551378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7849748,0.0005005071,0.2090813,0.0004002365,0.00004457066,0.0002561247,0.002679109,0.0005318635,0.001531427],"genre_scores_gemma":[0.834838,0.0002614583,0.1558887,0.0001114748,0.00001982477,0.0006697585,0.007360771,0.0001175481,0.0007325986],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04367593,"threshold_uncertainty_score":0.2309831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334156986357013,"score_gpt":0.2824039125886958,"score_spread":0.2590623427251257,"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."}}