{"id":"W2070842108","doi":"10.1002/gepi.20135","title":"A tree‐based model for allele‐sharing‐based linkage analysis in human complex diseases","year":2005,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Covariate; Linkage (software); Tree (set theory); Genetic linkage; Pruning; Genetics; Biology; Statistics; Quantitative trait locus; Computational biology; Mathematics; Computer science; Gene; Combinatorics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001303271,0.000363407,0.001015598,0.0003381666,0.0001733154,0.000008557377,0.000508518,0.0005053054,0.00009914915],"category_scores_gemma":[0.001375447,0.000367116,0.0006256489,0.0003123276,0.000185764,0.000002875904,0.0001198431,0.0001528269,0.000009549144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000638121,"about_ca_system_score_gemma":0.00014383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009471575,"about_ca_topic_score_gemma":0.003564732,"domain_scores_codex":[0.9962149,0.0005429992,0.001155205,0.001078484,0.00008692359,0.0009214716],"domain_scores_gemma":[0.997919,0.0004594439,0.0004033796,0.0008662869,0.0001248826,0.0002270009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005320433,0.0001579635,0.3985007,0.00001662613,0.0001967401,6.999363e-7,0.00001340195,0.5911452,0.004681156,0.0001612104,0.003326459,0.001746645],"study_design_scores_gemma":[0.001179146,0.0001932963,0.3199833,0.000003407308,0.0002433118,6.002761e-7,0.000008650391,0.6735889,0.0001141163,0.00158069,0.002825274,0.0002792589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4447461,0.0009920992,0.5508286,0.00248051,0.00003634411,0.000486295,0.0001643822,0.00003009516,0.0002355815],"genre_scores_gemma":[0.8525692,0.00005803091,0.1386886,0.005414292,0.0002788037,0.0003481166,0.00220155,0.00003822291,0.0004031757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4121399,"threshold_uncertainty_score":0.9998781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712894971616887,"score_gpt":0.3572011197768718,"score_spread":0.2859116226151831,"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."}}