{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001559739,0.0001100648,0.0001940386,0.0001127543,0.00002078207,0.000007549238,0.0002791024,0.00005430845,0.00001586928],"category_scores_gemma":[0.00005849089,0.00008511732,0.0001249619,0.000110641,0.00004746282,0.000007538836,0.00005313609,0.00005917392,2.095264e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006602455,"about_ca_system_score_gemma":0.00006733125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004560071,"about_ca_topic_score_gemma":0.00002830013,"domain_scores_codex":[0.9987096,0.0003774085,0.0004686032,0.0001374298,0.0001861696,0.000120825],"domain_scores_gemma":[0.9992486,0.00001539343,0.0002259237,0.0003006164,0.00009199692,0.0001175342],"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":[0.007329315,0.02626939,0.3931723,0.0003541789,0.003608208,0.001022222,0.01903145,0.00584473,0.5094661,0.001089933,0.003673192,0.029139],"study_design_scores_gemma":[0.00121184,0.002984093,0.9500103,0.00005522717,0.0001086066,0.00004461968,0.0009075609,0.000006190302,0.0435416,0.0007592714,0.0002437621,0.0001269576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951975,0.002164254,0.002217258,0.00005327202,0.00008613242,0.0002086646,0.00001759467,0.000001140624,0.0000541852],"genre_scores_gemma":[0.9900386,0.000182164,0.009513723,0.0001082682,0.0001238691,0.000006501222,0.000009448867,0.00001210029,0.000005270486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.556838,"threshold_uncertainty_score":0.3470984,"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."}}