{"id":"W4389462753","doi":"10.1071/rdv36n2ab135","title":"135 Enhancing livestock resilience: epigenetic diversity in bovine","year":2023,"lang":"en","type":"article","venue":"Reproduction Fertility and Development","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Resilience (materials science); Epigenetics; Livestock; Diversity (politics); Biology; Ecology; Genetics; Sociology; Materials science; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0006943852,0.0001010582,0.0002833128,0.0002830863,0.0002826898,0.0009659588,0.0004094943,0.0009715381,0.005156022],"category_scores_gemma":[0.001756035,0.0000601211,0.0001919941,0.0004415371,0.0007999841,0.0006266446,0.0007508787,0.0009123746,0.000569651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497461,"about_ca_system_score_gemma":0.0006532615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680366,"about_ca_topic_score_gemma":0.002855015,"domain_scores_codex":[0.9997372,0.00008212624,0.00001623293,0.00007914554,0.00005990267,0.00002531156],"domain_scores_gemma":[0.9991511,0.0004640693,0.0001472821,0.00003939367,0.0001299822,0.00006812136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006788147,0.00008796917,0.01764961,0.008524794,0.0005052057,0.001076771,0.003193382,0.0005047198,0.04947989,0.03851929,0.166743,0.7130365],"study_design_scores_gemma":[0.00005059969,0.0002562777,0.08887504,0.003458225,0.0003099116,0.001319027,0.002500618,0.0001731266,0.009076732,0.01534291,0.8785738,0.00006368741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03990847,0.794165,0.002712358,0.1195391,0.01359559,0.00003153461,0.001294929,0.00009566091,0.0286574],"genre_scores_gemma":[0.2898587,0.6058415,0.002616481,0.05096526,0.01523908,0.00008147661,0.0007534643,0.00008927664,0.03455464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005156022,"threshold_uncertainty_score":0.01724857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790406569810334,"score_gpt":0.2307520950604275,"score_spread":0.2128480293623241,"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."}}