{"id":"W1973011508","doi":"10.1186/1471-2156-4-s1-s86","title":"Genome-wide linkage analysis of systolic blood pressure slope using the Genetic Analysis Workshop 13 data sets","year":2003,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Population Health Research Institute; SickKids Foundation; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Hospital for Sick Children","keywords":"Imputation (statistics); Missing data; Framingham Heart Study; Genetic linkage; Linkage (software); Blood pressure; Statistics; Computer science; Biology; Genetics; Medicine; Mathematics; Internal medicine; Framingham Risk Score; Disease; 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":[0.01960472,0.0005696057,0.001090021,0.00154177,0.001025122,0.0009199682,0.001315463,0.0009802552,0.001409799],"category_scores_gemma":[0.0306357,0.0006057566,0.001865564,0.00250888,0.000503109,0.000294356,0.001546649,0.001256952,0.0002835109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007335606,"about_ca_system_score_gemma":0.001646727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008379502,"about_ca_topic_score_gemma":0.01312506,"domain_scores_codex":[0.9853384,0.01214986,0.0004076973,0.0009482934,0.0008551649,0.0003005612],"domain_scores_gemma":[0.9836892,0.009764241,0.001252427,0.003804588,0.0009867752,0.0005027207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01015045,0.002338087,0.7050065,0.0003371223,0.008482232,0.002252708,0.002108131,0.1508488,0.02720496,0.009037775,0.007089402,0.07514381],"study_design_scores_gemma":[0.002453454,0.001800663,0.8083507,0.00007955473,0.001571718,0.001510108,0.0004494999,0.1552082,0.01276281,0.008397135,0.007102998,0.0003132253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770864,0.00007763549,0.01869342,0.000139702,0.00001230853,0.0001327969,0.003369056,0.0001125963,0.0003760128],"genre_scores_gemma":[0.9022319,0.00008225622,0.07610238,0.00004844835,0.00001526874,0.0008959947,0.02009796,0.0000635879,0.0004621779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01960472,"threshold_uncertainty_score":0.1036808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04439054469031714,"score_gpt":0.3019780778035692,"score_spread":0.257587533113252,"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."}}