{"id":"W1986007519","doi":"10.1002/gepi.20566","title":"Latent class model with familial dependence to address heterogeneity in complex diseases: adapting the approach to family-based association studies","year":2011,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval","funders":"National Institute of Mental Health; National Institutes of Health; Canadian Institutes of Health Research; Autism Speaks","keywords":"Association (psychology); Latent class model; Class (philosophy); Genetics; Computational biology; Biology; Computer science; Psychology; Statistics; Mathematics; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002097066,0.0003429385,0.0007167495,0.0001028029,0.0001917947,0.000006788867,0.0005350157,0.0003167264,0.000003300772],"category_scores_gemma":[0.003229432,0.000249817,0.000141363,0.0002435843,0.0001319511,0.000003603597,0.0003008318,0.0002081089,0.00001774358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734659,"about_ca_system_score_gemma":0.0001598489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003146129,"about_ca_topic_score_gemma":0.001072148,"domain_scores_codex":[0.995774,0.001417388,0.000807119,0.0009209298,0.0001749207,0.0009055902],"domain_scores_gemma":[0.9979634,0.0005290912,0.0003553321,0.0006717198,0.0002444164,0.0002359998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002101774,0.0001393522,0.6116866,0.00001719464,0.0001922912,0.000001742412,0.0003386154,0.3789797,0.003313547,0.0001089468,0.00417896,0.0008329117],"study_design_scores_gemma":[0.0006907452,0.0005721139,0.9384253,0.00001692402,0.00009459256,0.000005070593,0.000404011,0.05786624,0.0002677811,0.0005570195,0.0006947005,0.0004054832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647591,0.0009908335,0.1314321,0.001339578,0.0001186744,0.000855541,0.00006989417,0.00002266582,0.0004116034],"genre_scores_gemma":[0.8868096,0.0001230797,0.1024481,0.009784823,0.0001292354,0.0005064015,0.00008257096,0.00003118241,0.00008496061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3267387,"threshold_uncertainty_score":0.9999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552421841916864,"score_gpt":0.3322597550170542,"score_spread":0.1770175708253679,"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."}}