{"id":"W4416443128","doi":"10.5376/gab.2025.16.0002","title":"Genomic and Transcriptomic Analysis of Disease Resistance in Sheep","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Helminth infection and control","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gene; Transcriptome; Disease; Immune system; Candidate gene; Identification (biology); Plant disease resistance; Disease gene identification","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000324277,0.0002644649,0.0008528192,0.0007256353,0.0001009195,0.00002916398,0.0001396762,0.0002370575,0.000102317],"category_scores_gemma":[0.00001125912,0.0002790358,0.000146412,0.0005546378,0.0003545541,0.00001723342,0.0001055887,0.0001942649,0.000003692422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008728359,"about_ca_system_score_gemma":0.0001258462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007377846,"about_ca_topic_score_gemma":0.0007155224,"domain_scores_codex":[0.9981342,0.0001084534,0.000718785,0.0006560314,0.00003063269,0.000351881],"domain_scores_gemma":[0.9992505,0.0001166328,0.0001548769,0.0003184672,0.00002343609,0.0001361123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009198879,0.0003492156,0.1075185,0.0005478717,0.003435666,0.00001276029,0.001481606,0.0001547349,0.5938211,0.2425988,0.00004989282,0.04083096],"study_design_scores_gemma":[0.004010137,0.0001791279,0.9412708,0.00004270316,0.002640168,9.900864e-7,0.0003823477,0.005222247,0.0003250472,0.01085223,0.03453006,0.0005441472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854075,0.008720949,0.0009020185,0.0005740031,0.0001645462,0.0004407591,0.0003015257,0.00001040202,0.003478296],"genre_scores_gemma":[0.9954887,0.003464498,0.0001208267,0.0005923989,0.00003041136,0.00004863792,0.00003623779,0.00001209346,0.0002061975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8337523,"threshold_uncertainty_score":0.9999662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124730970560271,"score_gpt":0.2648128684268654,"score_spread":0.2523397713708382,"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."}}