{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003159051,0.0003153434,0.0005325908,0.001105138,0.0003763165,0.0008566575,0.0004937904,0.000463347,0.00327482],"category_scores_gemma":[0.008486892,0.0001948148,0.0009651203,0.0006890666,0.0002843121,0.0003998918,0.0008209011,0.0006135757,0.0002800702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814699,"about_ca_system_score_gemma":0.0005921557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005845767,"about_ca_topic_score_gemma":0.00502104,"domain_scores_codex":[0.9987271,0.0007451082,0.00005505698,0.0002243068,0.0001195279,0.0001289233],"domain_scores_gemma":[0.9968076,0.002215873,0.0003334427,0.0003053752,0.0001535306,0.0001842053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001908163,0.0002953522,0.7127888,0.0000947633,0.001452399,0.0006452827,0.0004461409,0.1479759,0.01764858,0.0135088,0.002430334,0.1008054],"study_design_scores_gemma":[0.00006714871,0.0001648259,0.2204618,0.00001744873,0.0002492281,0.0003822461,0.0001460477,0.7644413,0.001244275,0.01180644,0.0009745592,0.00004478485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408694,0.0001421643,0.05734939,0.0001923353,0.000008283143,0.00001927873,0.0003179834,0.0001670724,0.0009340994],"genre_scores_gemma":[0.9942696,0.00003343949,0.004844846,0.00002822426,0.00000617232,0.00001173668,0.0003833873,0.00002783684,0.0003947614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005845767,"threshold_uncertainty_score":0.01670682,"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."}}