{"id":"W3182674036","doi":"10.36691/rja798","title":"USE OF MOLECULAR GENETIC METHODS IN THE STUDY OF HEREDITARY PREDISPOSITION TO ATOPIC DISEASES INCHILDREN","year":2011,"lang":"en","type":"article","venue":"Russian Journal of Allergy","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute","funders":"","keywords":"Gene; Allele; Genotype; Disease; Multifactor dimensionality reduction; Genetics; Polymorphism (computer science); Candidate gene; Genetic predisposition; Medicine; Biology; Internal medicine; Single-nucleotide polymorphism","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":[0.002238426,0.0004222534,0.000301796,0.003042017,0.000194672,0.0003104036,0.0004066388,0.0003647616,0.001227155],"category_scores_gemma":[0.002592779,0.0001957439,0.000306168,0.001215872,0.0003351584,0.000222021,0.0004501334,0.0004753271,0.0003642439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919594,"about_ca_system_score_gemma":0.0003020891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009214731,"about_ca_topic_score_gemma":0.0008743889,"domain_scores_codex":[0.9978248,0.001493465,0.00007607486,0.0002659709,0.0002708876,0.00006885111],"domain_scores_gemma":[0.9984173,0.0007517497,0.000394345,0.0001752136,0.0001535826,0.0001078951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005101785,0.000220702,0.8244272,0.0003558159,0.0003528897,0.0009075719,0.0002539433,0.001111284,0.02228597,0.002221897,0.0008873114,0.1464653],"study_design_scores_gemma":[0.00007421816,0.0009551418,0.9672198,0.000146463,0.0002629486,0.006418993,0.0003073753,0.0041686,0.004473446,0.002209254,0.01373096,0.00003284146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8853298,0.03665059,0.06723364,0.0008461853,0.0002871219,0.0003851154,0.002287592,0.0002399963,0.006739978],"genre_scores_gemma":[0.9332205,0.00983299,0.05354536,0.0002145759,0.0002068971,0.0003157035,0.0009002084,0.00001979004,0.001743953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003042017,"threshold_uncertainty_score":0.01183808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258097617124375,"score_gpt":0.2855797201238481,"score_spread":0.2629987439526044,"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."}}