{"id":"W4311580216","doi":"10.1038/s42003-022-04279-8","title":"Bayesian model and selection signature analyses reveal risk factors for canine atopic dermatitis","year":2022,"lang":"en","type":"article","venue":"Communications Biology","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; Dogs Trust; Science for Life Laboratory; Uppsala Universitet; Vetenskapsrådet; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; American Kennel Club Canine Health Foundation","keywords":"Atopic dermatitis; Candidate gene; Biology; Locus (genetics); Genetics; Filaggrin; Atopy; Population; Gene; Medicine; Immunology; Allergy","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":[0.00007342084,0.00007766503,0.0001838853,0.0001040905,0.0006589042,0.000004088103,0.0001783212,0.0000786277,0.00005264832],"category_scores_gemma":[0.0001582986,0.00007025857,0.00005572162,0.000140381,0.0001447657,0.00002681741,0.0001585715,0.0002518897,6.300304e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003679545,"about_ca_system_score_gemma":0.00007771754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008681374,"about_ca_topic_score_gemma":0.0001067905,"domain_scores_codex":[0.9993474,0.0002229253,0.0001543717,0.0001299005,0.00002896801,0.000116414],"domain_scores_gemma":[0.9991416,0.0002915678,0.00008246076,0.0003753827,0.0000553885,0.00005358605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004584025,0.0002664937,0.9643297,0.00004744228,0.0002980103,0.000001340921,0.0006866282,0.0009320282,0.001550651,0.003856389,0.02579818,0.002187279],"study_design_scores_gemma":[0.002464806,0.0004451403,0.5550195,0.00002084144,0.001096004,0.0003514468,0.00130138,0.3747273,0.0006109814,0.02438657,0.03916596,0.0004100287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674127,0.01069685,0.01197786,0.007227956,0.00007311979,0.0007000677,0.0005921504,0.0001304039,0.001188925],"genre_scores_gemma":[0.9938614,0.0004279383,0.003916369,0.0006285856,0.00001138186,0.0001748907,0.0007582552,0.000007873962,0.0002133565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4093102,"threshold_uncertainty_score":0.5067825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04975817774986249,"score_gpt":0.356668449402287,"score_spread":0.3069102716524246,"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."}}