{"id":"W6958624451","doi":"10.6084/m9.figshare.28581248","title":"<b>Integrated GWAS, Meta-Analysis, and Bayesian Fine Mapping Reveal Novel QTLs and Functional Candidate Genes for Vulva Traits in Large White Pigs</b>_pheno data","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Candidate gene; Large white; Vulva; Selection (genetic algorithm); Culling; Quantitative trait locus; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007067295,0.0004098738,0.001308012,0.000637952,0.0006242435,0.0003127402,0.0006736697,0.0004377447,0.03322086],"category_scores_gemma":[0.0008380502,0.0003277975,0.0004054621,0.001594721,0.00005229696,0.0003033236,0.0004309031,0.0003600912,0.00000701065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006630442,"about_ca_system_score_gemma":0.0005305038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824946,"about_ca_topic_score_gemma":0.1335128,"domain_scores_codex":[0.9972328,0.000220535,0.0005537322,0.001044027,0.0004531619,0.0004957754],"domain_scores_gemma":[0.9983327,0.0003148425,0.0003331848,0.0006054714,0.0002178168,0.0001959709],"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":[0.00001488525,0.00005144352,0.00005078681,0.0003032408,0.01256736,0.000006905517,0.0001291715,0.00001323198,0.000002383515,0.00001309988,0.9866377,0.0002098035],"study_design_scores_gemma":[0.0003450497,0.00000948195,0.00130863,0.0001541783,0.02142108,9.697261e-7,0.0001476987,0.0004346969,8.377173e-7,0.00001939923,0.9757851,0.0003728301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005865109,0.004185009,0.00006261681,0.0007444532,0.00005515566,0.0004872653,0.9943646,0.00002189198,0.00007312746],"genre_scores_gemma":[0.0002803503,0.00006387727,0.0001970736,0.0002858423,0.0002751735,0.000186858,0.9942913,0.00001054235,0.00440897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1306878,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076025168141174,"score_gpt":0.3205768917770862,"score_spread":0.2129743749629688,"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."}}