{"id":"W4213447269","doi":"10.1093/g3journal/jkac049","title":"gJLS2: an R package for generalized joint location and scale analysis in X-inclusive genome-wide association studies","year":2022,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; McMaster University; St. Joseph’s Healthcare Hamilton","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; McLaughlin Centre, University of Toronto","keywords":"Biology; Scale (ratio); Genome-wide association study; Computational biology; Evolutionary biology; Genome; Genetic association; Genetics; Cartography; Single-nucleotide polymorphism; Gene; Genotype","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":[0.01353075,0.003267646,0.003603435,0.004199804,0.0009007959,0.003183403,0.004558329,0.001625379,0.07380921],"category_scores_gemma":[0.06019333,0.002236571,0.005415297,0.004652223,0.001425506,0.002256899,0.004128391,0.003975948,0.02571397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006617022,"about_ca_system_score_gemma":0.00388384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004017762,"about_ca_topic_score_gemma":0.004223377,"domain_scores_codex":[0.9918891,0.004638445,0.0006708976,0.001354803,0.001092357,0.0003544308],"domain_scores_gemma":[0.9683951,0.02430666,0.002019301,0.003343657,0.001410342,0.0005249283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0018952,0.0001975619,0.03473273,0.007098791,0.009157504,0.002301791,0.001139043,0.02061664,0.00757291,0.02817234,0.6753377,0.2117778],"study_design_scores_gemma":[0.002113279,0.0005943155,0.04482224,0.001229283,0.003994782,0.003742777,0.0003993301,0.1469563,0.01221585,0.1607296,0.6224696,0.0007326202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005570192,0.001209187,0.7973824,0.0007810818,0.0006378939,0.0004897969,0.07143594,0.1196688,0.002824722],"genre_scores_gemma":[0.0573639,0.001016592,0.7668219,0.00128551,0.0004009311,0.006000584,0.05722931,0.1029718,0.006909519],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07380921,"threshold_uncertainty_score":0.2469164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101009551996031,"score_gpt":0.296502398650457,"score_spread":0.2754923031304967,"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."}}