{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0244308,0.001808383,0.002395764,0.001628188,0.0008254129,0.002023753,0.00498815,0.003337394,0.004099222],"category_scores_gemma":[0.05412475,0.001157092,0.00221378,0.002245394,0.003096811,0.003252714,0.002435395,0.003236249,0.0006315453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898297,"about_ca_system_score_gemma":0.001319175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008589549,"about_ca_topic_score_gemma":0.008666018,"domain_scores_codex":[0.9882348,0.007626503,0.0003433632,0.002657986,0.0006912507,0.0004460454],"domain_scores_gemma":[0.9295759,0.05614035,0.00614698,0.005426005,0.002235861,0.0004748676],"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":[0.0003979977,0.0001575916,0.02001572,0.0003342665,0.0006914415,0.001074148,0.0009441611,0.5726761,0.001006348,0.3461936,0.002283366,0.05422521],"study_design_scores_gemma":[0.00007366161,0.00007103538,0.002337058,0.00005518888,0.00011638,0.0001178772,0.00007505022,0.8518657,0.0003002782,0.143613,0.001330145,0.00004453751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03991153,0.0003477748,0.9573463,0.000715734,0.00008603868,0.0001847014,0.0005634464,0.0002015999,0.0006428627],"genre_scores_gemma":[0.6816673,0.001113477,0.2989187,0.0008130413,0.0002833991,0.001801688,0.002278472,0.0001262848,0.01299753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0244308,"threshold_uncertainty_score":0.129204,"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."}}