{"id":"W4394236218","doi":"10.6084/m9.figshare.22608110","title":"Additional file 1 of Genomic insight into the influence of selection, crossbreeding, and geography on population structure in poultry","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Crossbreed; Selection (genetic algorithm); Genomic selection; Population; Biology; Geography; Evolutionary biology; Genetics; Computer science; Demography; Genotype; Sociology; Gene; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001192518,0.001141413,0.001325673,0.002079849,0.0007125648,0.001640942,0.001944134,0.001423998,0.5361115],"category_scores_gemma":[0.0122771,0.0005875021,0.001017549,0.004610461,0.0002983687,0.001238211,0.001184523,0.00111379,0.08999881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001257,"about_ca_system_score_gemma":0.001615084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062611,"about_ca_topic_score_gemma":0.03427761,"domain_scores_codex":[0.9994222,0.00009311267,0.00008226119,0.000219203,0.00008362501,0.0000996445],"domain_scores_gemma":[0.9936133,0.004387422,0.0005145419,0.0004947225,0.0007065012,0.0002835214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000185065,0.00006261853,0.006672774,0.002389251,0.0001005921,0.00006565094,0.00007659352,0.0006901672,0.0001650225,0.0007355401,0.9849221,0.003934755],"study_design_scores_gemma":[0.004351741,0.0001779461,0.07642743,0.002852648,0.0004127246,0.0004057526,0.0005066447,0.002303422,0.00074961,0.007861972,0.9038218,0.0001282376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009979775,0.00001173784,0.00004765438,0.00002222978,0.000004221374,0.000007040004,0.9996351,0.00003631088,0.0001358125],"genre_scores_gemma":[0.002224507,0.00005215296,0.0006569708,0.000104834,0.00001499933,0.000239228,0.9952416,0.0001167975,0.001348922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5361115,"threshold_uncertainty_score":0.6616807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660829891192081,"score_gpt":0.2520088809910736,"score_spread":0.2354005820791528,"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."}}