{"id":"W2416230537","doi":"10.1002/gepi.2001.21.s1.s504","title":"Does Simultaneous Consideration of Multiple Regions Improve Disease Gene Localization?","year":2001,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Toronto Public Health","funders":"","keywords":"Genome Scan; Genetics; Pedigree chart; Allele; Biology; Gene; Genetic linkage; Linkage (software); Genome; Computational biology; Microsatellite","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01020206,0.0009345186,0.001826675,0.000963956,0.0004546686,0.001105327,0.0009684257,0.001018986,0.001386178],"category_scores_gemma":[0.03912295,0.0008343228,0.002094613,0.00171408,0.0008210122,0.002388645,0.001869226,0.000962843,0.0004261737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347905,"about_ca_system_score_gemma":0.0007121185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002403327,"about_ca_topic_score_gemma":0.005150424,"domain_scores_codex":[0.9939938,0.003646305,0.0003300895,0.001249875,0.0004738586,0.0003060361],"domain_scores_gemma":[0.9674699,0.02250389,0.003023199,0.004858261,0.001428803,0.0007160273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004906328,0.0003766842,0.339033,0.0008986841,0.004231089,0.001354179,0.001305685,0.0933176,0.1329889,0.007038125,0.0009999068,0.4135497],"study_design_scores_gemma":[0.0006809509,0.004325947,0.3942449,0.0001797573,0.006298394,0.004584221,0.0009399561,0.4745708,0.0446948,0.05997708,0.009132089,0.0003710244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7158614,0.002324402,0.2787091,0.0007240165,0.0000694792,0.00008174519,0.0002158716,0.0005628188,0.001451234],"genre_scores_gemma":[0.9164125,0.0004368841,0.08205279,0.0001875966,0.00004015286,0.00004642761,0.0002308871,0.0001259966,0.0004666547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020206,"threshold_uncertainty_score":0.05395424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756923772086761,"score_gpt":0.2811395265169677,"score_spread":0.2635702887961001,"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."}}