{"id":"W1981543987","doi":"10.1186/1753-6561-8-s1-s92","title":"Mixed-effects models for joint modeling of sequence data in longitudinal studies","year":2014,"lang":"en","type":"article","venue":"BMC Proceedings","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"National Institute of General Medical Sciences; National Institutes of Health; Texas Biomedical Research Institute","keywords":"Single-nucleotide polymorphism; Genotype; Genetics; Genome-wide association study; Mixed model; Random effects model; Sequence (biology); Medicine; Gene; Biology; Bioinformatics; Internal medicine; Mathematics; Meta-analysis; Statistics","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":[0.05965847,0.004710456,0.006012563,0.004397083,0.001492891,0.004183052,0.01044772,0.005259186,0.006647455],"category_scores_gemma":[0.08251587,0.003082854,0.008050152,0.004961504,0.003280118,0.004723562,0.00453952,0.007058179,0.001547868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002768736,"about_ca_system_score_gemma":0.003234298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01537322,"about_ca_topic_score_gemma":0.01142746,"domain_scores_codex":[0.9617872,0.02974989,0.001515695,0.004841192,0.001312101,0.0007938369],"domain_scores_gemma":[0.9050186,0.08352834,0.004054358,0.00426834,0.002496431,0.0006340153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008662498,0.0002484586,0.01406234,0.00132139,0.006447582,0.0009292325,0.0009874937,0.5755089,0.0009702593,0.3211079,0.004828672,0.07272166],"study_design_scores_gemma":[0.0001624638,0.0001635802,0.0007851993,0.0001291488,0.0005734916,0.0001119116,0.00005997493,0.8446875,0.0002342995,0.1487732,0.004221697,0.00009748762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002137679,0.001226884,0.9948285,0.00030831,0.0002285064,0.0001563272,0.000535167,0.0003442091,0.0002343042],"genre_scores_gemma":[0.1224205,0.003617566,0.8580879,0.0009937042,0.001067505,0.005355538,0.003409966,0.0003963491,0.004650847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05965847,"threshold_uncertainty_score":0.3155079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2181811874296256,"score_gpt":0.3521597404452841,"score_spread":0.1339785530156585,"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."}}