{"id":"W6977275773","doi":"10.6084/m9.figshare.22608113.v1","title":"Additional file 2 of Genomic insight into the influence of selection, crossbreeding, and geography on population structure in poultry","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Haplotype; Population; Distribution (mathematics); Cluster analysis; Selection (genetic algorithm); Fraction (chemistry); Population structure","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":[0.001425769,0.001261113,0.00155159,0.002709231,0.001171269,0.001691701,0.002548783,0.001210923,0.8742324],"category_scores_gemma":[0.01746849,0.0006789982,0.001062703,0.00455702,0.0003503342,0.001830546,0.001251711,0.001097273,0.1613632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009733476,"about_ca_system_score_gemma":0.001687172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101095,"about_ca_topic_score_gemma":0.01959655,"domain_scores_codex":[0.9993013,0.0001040741,0.00009886352,0.0001974102,0.0001658315,0.0001324625],"domain_scores_gemma":[0.9880052,0.008908823,0.0005655579,0.0007123011,0.001365173,0.0004429122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003436056,0.0001380641,0.005810867,0.003865978,0.00009742755,0.0001967085,0.0001636362,0.0009973542,0.0004391406,0.001209795,0.9746131,0.01212427],"study_design_scores_gemma":[0.007175595,0.0004045046,0.07573687,0.004186701,0.000361992,0.001063716,0.001166887,0.005378577,0.00193075,0.01936521,0.8829328,0.0002964283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000244842,0.0000138634,0.0004097674,0.00006322705,0.00002264314,0.00004806924,0.9982584,0.0003497617,0.0005894149],"genre_scores_gemma":[0.01138861,0.000126464,0.007873886,0.0005123076,0.0000966527,0.00132755,0.968609,0.001656984,0.008408499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8742324,"threshold_uncertainty_score":0.1793923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008408682996337822,"score_gpt":0.2096686246371698,"score_spread":0.2012599416408319,"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."}}