{"id":"W3168847396","doi":"10.1590/0103-8478cr20200690","title":"First report of nt230(del4) mutation in the MDR1 gene in German Shepherds in Southern Brazil","year":2021,"lang":"en","type":"article","venue":"Ciência Rural","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Universidade Federal do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Allele; Genotype; Genetics; Biology; Gene; Mutant; Mutation; Population; Allele frequency; Breed; Molecular biology; Medicine","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":[0.0004419093,0.0001132092,0.0002850501,0.0001110897,0.00002271958,0.000007430167,0.00009102483,0.00009720104,0.0001163132],"category_scores_gemma":[0.00004639848,0.00008591034,0.00007841461,0.000494379,0.00004064572,0.00005098619,0.00001144845,0.0002097404,0.00001161517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007239216,"about_ca_system_score_gemma":0.000156973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003961052,"about_ca_topic_score_gemma":0.01380805,"domain_scores_codex":[0.9987668,0.00004368108,0.0004958574,0.0001824627,0.0002942318,0.0002169512],"domain_scores_gemma":[0.9994943,0.00003134324,0.0000919919,0.0002906265,0.00005691426,0.00003487997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007271681,0.00154722,0.7786799,0.0008114703,0.00007583028,0.05353338,0.07483486,0.0007115974,0.08044276,0.00185141,0.0004525777,0.0063318],"study_design_scores_gemma":[0.00351123,0.00007373602,0.9657747,0.0005782635,0.00005016793,0.000606566,0.01216715,0.0005139502,0.013689,0.001693378,0.001109866,0.0002319903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957666,0.0004148394,0.0001044322,0.001621052,0.0001290618,0.0002325133,0.000007376654,0.0000127804,0.001711302],"genre_scores_gemma":[0.9982502,0.00002973911,0.0002598554,0.0002299385,0.00006822826,0.00002229678,0.0001178822,0.00001602475,0.001005772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1870948,"threshold_uncertainty_score":0.7705216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009599496756685037,"score_gpt":0.2695280377992663,"score_spread":0.2599285410425813,"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."}}