{"id":"W4317569302","doi":"10.1186/s12711-022-00775-x","title":"Genomic insight into the influence of selection, crossbreeding, and geography on population structure in poultry","year":2023,"lang":"en","type":"article","venue":"Genetics Selection Evolution","topic":"Livestock and Poultry Management","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Horizon 2020; China Scholarship Council; European Commission","keywords":"Biology; Crossbreed; Breed; Selection (genetic algorithm); Evolutionary biology; Population; Context (archaeology); Domestication; Genetics; Demography","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":[0.0002658371,0.0001533148,0.000194533,0.0007988834,0.0001641584,0.0004171389,0.0001769701,0.0002027212,0.001208364],"category_scores_gemma":[0.0004715619,0.00009029572,0.0002175689,0.0008494265,0.0003472948,0.0001944409,0.000302874,0.000183107,0.00009395684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766027,"about_ca_system_score_gemma":0.0002072919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003237563,"about_ca_topic_score_gemma":0.006748572,"domain_scores_codex":[0.9998699,0.00003674346,0.00000835121,0.00005028442,0.00001764461,0.00001706382],"domain_scores_gemma":[0.9996768,0.0001542008,0.00008064019,0.00002813284,0.00003014589,0.00003002678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003537285,0.00006854378,0.7102809,0.0002014233,0.0004925528,0.001457199,0.001606323,0.004214411,0.2475431,0.002364174,0.0001586722,0.03125897],"study_design_scores_gemma":[0.000004163828,0.00004000758,0.9943223,0.00001575192,0.0000773741,0.0003146834,0.0003718958,0.001555402,0.001816504,0.0007265606,0.0007487768,0.000006540527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970982,0.0003658694,0.001638217,0.00002927038,0.000001319462,0.00000297454,0.0002069188,0.000004067785,0.0006531051],"genre_scores_gemma":[0.9987835,0.0001658835,0.0007332816,0.00001359696,0.000002156705,0.0000023601,0.0001858751,0.000002641267,0.0001107636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003237563,"threshold_uncertainty_score":0.00643748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00746881668130594,"score_gpt":0.2094756292171244,"score_spread":0.2020068125358185,"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."}}