{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01465838,0.001508809,0.003085189,0.002650164,0.00138805,0.002615037,0.006157015,0.003104718,0.006690332],"category_scores_gemma":[0.02892813,0.001297331,0.003287536,0.004185723,0.002158731,0.002844857,0.002874383,0.003546534,0.001906422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276294,"about_ca_system_score_gemma":0.002145304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223564,"about_ca_topic_score_gemma":0.009671765,"domain_scores_codex":[0.9921196,0.005420359,0.0002668325,0.001234508,0.0006477055,0.0003110215],"domain_scores_gemma":[0.9862458,0.01118763,0.0007337859,0.0007739525,0.0007746185,0.0002841985],"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":[0.0002109,0.00007095629,0.004514521,0.0001685978,0.0004509923,0.0004211553,0.00062335,0.7234751,0.0007436358,0.224384,0.003546921,0.04138988],"study_design_scores_gemma":[0.00007536342,0.00005881373,0.0005065626,0.00002504102,0.00006888847,0.0001775931,0.00002504747,0.8901825,0.00006480854,0.1065055,0.002273696,0.00003617573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008271858,0.0002727222,0.9893995,0.0004710993,0.00004527105,0.0001260573,0.0003951782,0.000219373,0.0007988313],"genre_scores_gemma":[0.290197,0.00161433,0.6903468,0.0006832047,0.0002240226,0.003720302,0.002521668,0.0003508992,0.01034185],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01465838,"threshold_uncertainty_score":0.07752186,"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."}}