{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001419876,0.0000923495,0.00007773346,0.00008023802,0.0002820919,0.00002973502,0.00008219379,0.00008512221,0.00001600122],"category_scores_gemma":[0.00002271914,0.00004141029,0.00002559613,0.001220848,0.00003861135,0.00006988224,0.00003520762,0.0001099518,0.000004043345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005812344,"about_ca_system_score_gemma":0.000005182894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658539,"about_ca_topic_score_gemma":0.00189913,"domain_scores_codex":[0.9992412,0.00006613386,0.0001847468,0.0002057675,0.0001514788,0.0001506741],"domain_scores_gemma":[0.9997368,0.00004412104,0.0000901243,0.00003293876,0.00007012434,0.0000258387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001641377,0.00001079546,0.7883871,0.000006221637,0.000005448753,4.511347e-8,0.0002143032,0.02443643,0.1834171,0.0002643916,0.00005128664,0.003190439],"study_design_scores_gemma":[0.00008549097,0.0001987073,0.9937722,0.00001021327,0.000006599138,0.000001505186,0.0001242703,0.001657949,0.0008829937,0.00231066,0.0008683131,0.00008109562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992961,0.0000965903,0.000008567808,0.0002023578,0.00008790346,0.0002199992,0.000005276043,0.00004780966,0.00003545605],"genre_scores_gemma":[0.9995669,0.0001424614,0.00004041792,0.00004579276,0.0001122426,0.00001083927,0.00003585427,0.000001153572,0.0000443829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2053851,"threshold_uncertainty_score":0.2507226,"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."}}