{"id":"W2902547371","doi":"","title":"Meta-analysis of GWAS of bovine stature with >50,000 animals imputed to whole-genome sequence","year":2015,"lang":"en","type":"article","venue":"Socio-Environmental Systems Modeling","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Computational biology; Genome; Whole genome sequencing; Sequence (biology); Biology; Genetics; Computer science; Gene; Single-nucleotide polymorphism; Genotype","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":[],"consensus_categories":[],"category_scores_codex":[0.0005852673,0.000267211,0.0008040965,0.0001751608,0.00005476676,0.00002114631,0.0003288153,0.0002337464,0.00002756796],"category_scores_gemma":[0.00001443397,0.000227717,0.0004327492,0.0003279375,0.00009390208,0.000009164824,0.0002415639,0.000158331,0.000006238544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776379,"about_ca_system_score_gemma":0.0001016824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005251375,"about_ca_topic_score_gemma":0.000008628303,"domain_scores_codex":[0.9976311,0.0001820896,0.0005286676,0.0005721171,0.0007210582,0.000364993],"domain_scores_gemma":[0.9987696,0.000008470323,0.0002381159,0.0006441647,0.00008396627,0.0002556582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001278947,0.00003614774,0.0001235443,0.00002224349,0.01373399,0.000003328435,0.0001798831,0.3831553,0.6025785,0.00000970196,0.00002019508,0.00000926787],"study_design_scores_gemma":[0.009263738,0.01563819,0.0002885904,0.0001970059,0.2261587,0.0001886459,0.07179154,0.4031296,0.2512805,0.0002403254,0.01624805,0.005575106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7968787,0.007167249,0.1930839,0.0001153122,0.00005332128,0.0007689362,0.001846362,0.00001266718,0.00007349822],"genre_scores_gemma":[0.9973681,0.0000536365,0.001404499,0.00004461321,0.00005258989,0.00007106628,0.0006190693,0.00005019196,0.000336224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.351298,"threshold_uncertainty_score":0.9286029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07101451832842764,"score_gpt":0.2928062913346895,"score_spread":0.2217917730062618,"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."}}