{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001619983,0.0004017887,0.0006549825,0.001760718,0.0006049939,0.0009329733,0.0005290582,0.0003165645,0.007610056],"category_scores_gemma":[0.001927852,0.0002458547,0.001263504,0.003120507,0.0002783063,0.0002180594,0.0006704857,0.0005389998,0.0006905319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003355046,"about_ca_system_score_gemma":0.00135375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03762709,"about_ca_topic_score_gemma":0.1036717,"domain_scores_codex":[0.9995661,0.00006914949,0.00004159958,0.0001419164,0.00011091,0.00007024693],"domain_scores_gemma":[0.9984137,0.0006946389,0.0002318096,0.0002986349,0.000191667,0.0001695983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001604942,0.0002558611,0.7209569,0.002021729,0.008108506,0.001749673,0.0009296501,0.01029697,0.1095897,0.005261655,0.06343187,0.07579259],"study_design_scores_gemma":[0.0002275609,0.00008215562,0.920655,0.0001660749,0.003015033,0.0004097264,0.000296942,0.01048548,0.004074541,0.002198958,0.05831088,0.00007762782],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6715854,0.001779344,0.03477007,0.002265998,0.0001767659,0.0001336221,0.2760537,0.001734645,0.01150053],"genre_scores_gemma":[0.7416702,0.001380774,0.04095474,0.001200326,0.0001426335,0.0003312223,0.2076865,0.0006112678,0.006022388],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03762709,"threshold_uncertainty_score":0.07481617,"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."}}