{"id":"W7084073539","doi":"10.6084/m9.figshare.30109765","title":"Additional file 1 of Small nucleolar RNA dysregulation and potential roles in bovine subclinical mastitis","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada","funders":"","keywords":"RNA; Mastitis; Genome; Whole genome sequencing; Sequence (biology); Small nucleolar RNA; Table (database); Ribosomal RNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001357018,0.001271966,0.001584664,0.002478428,0.001107487,0.002064093,0.00194571,0.001635377,0.5581753],"category_scores_gemma":[0.01251467,0.0005501597,0.001072241,0.004154296,0.0003417149,0.001206949,0.001310223,0.001135063,0.0999708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138563,"about_ca_system_score_gemma":0.002081236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147456,"about_ca_topic_score_gemma":0.02356297,"domain_scores_codex":[0.9991448,0.0001173847,0.0001072367,0.0003238776,0.000149169,0.0001576198],"domain_scores_gemma":[0.9927055,0.004929884,0.0006222173,0.0005565748,0.0008172004,0.0003684686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003648428,0.00007041974,0.005425604,0.004005829,0.00009522957,0.00007757764,0.00006411583,0.0004928194,0.0004616899,0.0006034903,0.9829937,0.00534464],"study_design_scores_gemma":[0.002111405,0.0001864628,0.04937115,0.002981556,0.0003372178,0.00053777,0.0002945694,0.001319016,0.001279607,0.005662401,0.9358144,0.0001043582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000930216,0.00002255881,0.0000418977,0.00001610008,0.0000059694,0.000007153204,0.9996184,0.00005095578,0.0001438819],"genre_scores_gemma":[0.001678193,0.000066007,0.0005803522,0.0001048227,0.00001283061,0.0001971182,0.9962257,0.0001348568,0.001000095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5581753,"threshold_uncertainty_score":0.6302093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009244104812489159,"score_gpt":0.2209874310907439,"score_spread":0.2117433262782547,"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."}}