{"id":"W4308957951","doi":"10.1089/cmb.2022.0067","title":"Genome-Wide Association with Uncertainty in the Genetic Similarity Matrix","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Genome-wide association study; Generalized linear mixed model; Genetic association; Similarity (geometry); Population stratification; Population; Markov chain Monte Carlo; Bayesian probability; Computational biology; Biology; Mathematics; Genetics; Statistics; Computer science; Artificial intelligence; Genotype; Medicine","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":[0.03125287,0.0007802352,0.00202675,0.002085845,0.001289561,0.003314452,0.002356349,0.003125774,0.001911378],"category_scores_gemma":[0.1224103,0.001432683,0.002072909,0.003203232,0.003932205,0.003220589,0.003031682,0.003515216,0.0002252945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162683,"about_ca_system_score_gemma":0.001679359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009521861,"about_ca_topic_score_gemma":0.008242679,"domain_scores_codex":[0.9832016,0.01204452,0.0006057372,0.002787687,0.0009049202,0.00045553],"domain_scores_gemma":[0.8150078,0.1728237,0.005924706,0.004282817,0.00127812,0.0006828826],"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":[0.0003701599,0.00009796616,0.07611611,0.0002546734,0.001121124,0.001088545,0.0006602172,0.7374003,0.001452512,0.1457673,0.001414886,0.03425631],"study_design_scores_gemma":[0.00005125469,0.00004614473,0.008310542,0.00004758102,0.0001177163,0.0002282957,0.00005143803,0.8700827,0.0002415511,0.1200761,0.0006865658,0.00006007168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1753406,0.001262798,0.8193178,0.00219474,0.000083017,0.00008328178,0.0003889543,0.0003951303,0.0009337544],"genre_scores_gemma":[0.8858444,0.0006760445,0.1108018,0.0005173684,0.00015616,0.0002132836,0.0005096379,0.00009934808,0.001181869],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03125287,"threshold_uncertainty_score":0.165283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852950180874421,"score_gpt":0.2490989920726065,"score_spread":0.2405694902638623,"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."}}