{"id":"W4400120819","doi":"10.3390/ncrna10040038","title":"Integrated Analysis of Transcriptome Profiles and lncRNA–miRNA–mRNA Competing Endogenous RNA Regulatory Network to Identify Biological Functional Effects of Genes and Pathways Associated with Johne’s Disease in Dairy Cattle","year":2024,"lang":"en","type":"article","venue":"Non-Coding RNA","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biology; KEGG; Paratuberculosis; Transcriptome; microRNA; Competing endogenous RNA; Genetics; Computational biology; Gene; Gene expression; RNA; Long non-coding RNA; Mycobacterium","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":[0.0005918778,0.0002006808,0.0006506103,0.0005673632,0.00006981652,0.00004187152,0.00007326327,0.0001019215,0.00004698712],"category_scores_gemma":[0.0004787305,0.0001463608,0.0001209569,0.001330989,0.0001504439,0.00007856371,0.00005280121,0.0002331637,0.000001161014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009181298,"about_ca_system_score_gemma":0.0001634003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261217,"about_ca_topic_score_gemma":0.00006882362,"domain_scores_codex":[0.9983543,0.0001477536,0.000381539,0.0004045005,0.0003586532,0.0003532476],"domain_scores_gemma":[0.9984545,0.0008344056,0.00008630058,0.0001689231,0.0001396626,0.0003162796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005641192,0.0001374709,0.5279726,0.0006295061,0.0008169198,0.0002071111,0.0005141331,0.0001407518,0.4673259,0.00005194035,0.0001008266,0.001538801],"study_design_scores_gemma":[0.0008328843,0.0004211277,0.9674615,0.001853654,0.0007093769,0.000006261785,0.0001092155,0.002217169,0.02620799,0.00002063874,0.00001400187,0.0001461487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995113,0.003759762,0.0001756082,0.00009463639,0.0001127024,0.0005046409,0.0001125417,0.00004557822,0.00008156143],"genre_scores_gemma":[0.9990078,0.0004009261,0.0001805336,0.00005273426,0.00008173045,0.00006601209,0.0001737829,0.00002063774,0.00001587759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4411179,"threshold_uncertainty_score":0.5968419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03877644647802372,"score_gpt":0.2758692212405047,"score_spread":0.237092774762481,"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."}}