{"id":"W2914488418","doi":"10.1186/s12859-019-2611-1","title":"sim1000G: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs","year":2019,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Linkage disequilibrium; Population; Context (archaeology); Pedigree chart; Computer science; Genetics; Biology; Haplotype; Allele","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":[0.004430224,0.001767173,0.001689046,0.0009505316,0.0003896642,0.00112332,0.004592943,0.001798585,0.03666253],"category_scores_gemma":[0.01558819,0.001414166,0.002416392,0.0009197842,0.0006068127,0.0008002719,0.001677058,0.002517582,0.009577498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007391752,"about_ca_system_score_gemma":0.002477755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005387298,"about_ca_topic_score_gemma":0.005827762,"domain_scores_codex":[0.9986494,0.0008110011,0.00007701494,0.000158876,0.0002116597,0.00009208563],"domain_scores_gemma":[0.9936129,0.005080136,0.0003352449,0.0004742866,0.0003179573,0.0001795602],"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":[0.001159152,0.0002583051,0.01432592,0.002495365,0.001792913,0.001081157,0.0006504838,0.6546919,0.006128226,0.04661451,0.1702234,0.1005788],"study_design_scores_gemma":[0.001091414,0.0001822643,0.0013798,0.0001672841,0.0002882538,0.0004542844,0.00004863397,0.8844865,0.00329633,0.03205801,0.07642879,0.0001184671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01404588,0.0006417943,0.8767778,0.0005293781,0.0002721922,0.0004650617,0.02035934,0.08126364,0.005644955],"genre_scores_gemma":[0.1168285,0.001051707,0.8196633,0.001173573,0.0001339287,0.004735915,0.01803317,0.03175874,0.00662127],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03666253,"threshold_uncertainty_score":0.1226484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897153664653678,"score_gpt":0.2630115897239511,"score_spread":0.2440400530774143,"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."}}