{"id":"W6923218867","doi":"10.1371/journal.pone.0212171.t003","title":"Genetic assessment of dog leukocyte antigen (DLA) alleles for 386 Golden Retriever samples grouped by lineage.","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Allele; Labrador Retriever; Antigen; Human leukocyte antigen; Genetic analysis","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":[0.0008833602,0.001723462,0.001807615,0.001732211,0.001038817,0.00160713,0.002449789,0.002562273,0.03358486],"category_scores_gemma":[0.004055724,0.0004445007,0.001404542,0.001900221,0.0004091125,0.0005846421,0.001444944,0.001330555,0.03948574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009818976,"about_ca_system_score_gemma":0.001285214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02357007,"about_ca_topic_score_gemma":0.06056309,"domain_scores_codex":[0.9993211,0.00007614274,0.00007470563,0.0002755734,0.0001236291,0.0001288249],"domain_scores_gemma":[0.9987104,0.0003759038,0.000124352,0.0002901235,0.0003344726,0.0001648935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003167533,0.00004984737,0.009143854,0.001207637,0.0001603187,0.0001412048,0.00004140426,0.0003324276,0.001380061,0.0002421197,0.9796244,0.007359868],"study_design_scores_gemma":[0.001134325,0.0001670799,0.08395248,0.001218175,0.0007562784,0.001242119,0.0003299653,0.001550253,0.002656133,0.002470435,0.9044048,0.0001178727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001737648,0.0002887566,0.000134622,0.0001286306,0.00005704373,0.00001793063,0.996296,0.0003064935,0.00103299],"genre_scores_gemma":[0.002346308,0.00007753062,0.0003179064,0.0001022723,0.00001179821,0.00005778607,0.9962482,0.00005621875,0.0007820188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03358486,"threshold_uncertainty_score":0.1123526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05445143366971543,"score_gpt":0.3141466518762957,"score_spread":0.2596952182065803,"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."}}