{"id":"W4205614259","doi":"10.1111/biom.13623","title":"Generalized Network Structured Models with Mixed Responses Subject to Measurement Error and Misclassification","year":2022,"lang":"en","type":"article","venue":"Biometrics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Covariate; Graphical model; Computer science; Binary number; Gaussian; Binary data; Observational error; Sample (material); Inference; Data mining; Machine learning; Algorithm; Artificial intelligence; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003969615,0.0001410713,0.000122998,0.0002101782,0.0002185341,0.00002535906,0.0001812651,0.00005842361,0.00001723607],"category_scores_gemma":[0.00007307016,0.0001264254,0.00002984915,0.0009989004,0.00004087445,0.000002012329,0.0001444444,0.00006481451,7.84754e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003932896,"about_ca_system_score_gemma":0.0001096798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001454139,"about_ca_topic_score_gemma":0.00002055245,"domain_scores_codex":[0.9987034,0.0001521635,0.0001573804,0.0003754222,0.000381346,0.0002303105],"domain_scores_gemma":[0.9993817,0.00001342793,0.00007085376,0.0003089281,0.0001096622,0.0001154581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007050379,0.00042978,0.01305725,0.00008631629,0.0005956783,0.000005067014,0.0007397803,0.1974783,0.6673939,0.01875797,0.0505591,0.04384656],"study_design_scores_gemma":[0.005887371,0.008784782,0.6122451,0.00002484742,0.0002724673,0.0001284733,0.0007963465,0.001978667,0.04850688,0.007502047,0.3118873,0.001985705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434137,0.002529906,0.0529715,0.0001992605,0.0002549611,0.0003766515,0.00005524122,0.00001644397,0.0001823162],"genre_scores_gemma":[0.9339591,0.00002065216,0.06507915,0.0002177494,0.0001226443,0.00008203919,0.00006026431,0.00002173028,0.0004366541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.618887,"threshold_uncertainty_score":0.5155478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05571618213951435,"score_gpt":0.2569420407276194,"score_spread":0.201225858588105,"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."}}