{"id":"W1567107174","doi":"10.1186/1471-2156-7-40","title":"SUP: an extension to SLINK to allow a larger number of marker loci to be simulated in pedigrees conditional on trait values","year":2006,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Locus (genetics); Trait; Pedigree chart; Linkage disequilibrium; Biology; Quantitative trait locus; Genetics; Allele; Haplotype; Computational biology; Computer science; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003724699,0.0001912402,0.000261826,0.00009407787,0.00004780584,0.00001082594,0.0001776939,0.000241464,0.0001033001],"category_scores_gemma":[0.000255201,0.0001932638,0.00008739904,0.0001843591,0.00003017975,0.00000195193,0.00009406514,0.00006739495,0.0000397267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002693162,"about_ca_system_score_gemma":0.0000739043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001156455,"about_ca_topic_score_gemma":0.0007989138,"domain_scores_codex":[0.9983644,0.0001682836,0.0004386404,0.0004783177,0.0001904753,0.0003598984],"domain_scores_gemma":[0.9991141,0.00005926327,0.0000762356,0.0003779571,0.0002072267,0.0001652297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002665106,0.0004228844,0.4463558,0.00001465572,0.00003171813,0.000003388847,0.0001903161,0.4136806,0.1143583,0.0001242765,0.02415476,0.000396804],"study_design_scores_gemma":[0.0005946358,0.0006186512,0.9751595,0.00001188376,0.00001821271,0.000003895253,0.00009215213,0.002475641,0.007715602,0.0006301958,0.01239272,0.000286865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944981,0.00004630487,0.003847486,0.0005732436,0.00007091493,0.000375143,0.0001670734,0.000008893766,0.0004128783],"genre_scores_gemma":[0.9733469,0.000009503253,0.02262852,0.002313242,0.0002259405,0.00002317931,0.0006185853,0.00002927011,0.0008048016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5288038,"threshold_uncertainty_score":0.788107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348737860021763,"score_gpt":0.3094274889721195,"score_spread":0.2859401103719018,"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."}}