{"id":"W4402422915","doi":"10.3389/fnut.2024.1451112","title":"Exploring genetic associations between metabolites and atopic dermatitis: insights from bidirectional Mendelian randomization analysis in European population","year":2024,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mendelian randomization; Atopic dermatitis; Population; Mendelian inheritance; Biology; Genetics; Computational biology; Medicine; Gene; Genetic variants; Immunology; Genotype; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008692113,0.00008757979,0.0002966226,0.0009873989,0.00005188395,0.00003826442,0.0000243934,0.00006370396,0.000008833968],"category_scores_gemma":[0.00007105161,0.00009164227,0.00007015584,0.0008419018,0.00002009703,0.0003195603,0.000008903015,0.0001278122,0.000003113566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009605401,"about_ca_system_score_gemma":0.00001220619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404947,"about_ca_topic_score_gemma":0.00005735975,"domain_scores_codex":[0.9989896,0.0002532788,0.0003193363,0.0002128849,0.0001253655,0.00009955061],"domain_scores_gemma":[0.9997317,0.00008860067,0.00004149178,0.00007284605,0.00002482471,0.00004058025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001495508,0.00004849989,0.995384,0.00009018315,0.0002781302,0.00005202162,0.000302901,0.00005742666,0.00001870796,0.0000305322,0.001183551,0.002539053],"study_design_scores_gemma":[0.001767348,0.000005127322,0.9872719,0.000219162,0.0006384974,0.000002120972,0.0000999352,0.005055946,0.00009541915,0.004279767,0.0004824069,0.00008234761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760759,0.01586129,0.006280858,0.001035546,0.0002538838,0.0002467769,0.0000542823,0.00007122656,0.0001202518],"genre_scores_gemma":[0.9923618,0.002269398,0.003174771,0.0001890071,0.0001913831,0.00005595844,0.001738655,0.0000107614,0.000008217447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01628596,"threshold_uncertainty_score":0.3737063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496391468798086,"score_gpt":0.250422157604992,"score_spread":0.2254582429170112,"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."}}