{"id":"W4393486537","doi":"10.5281/zenodo.6529229","title":"LD matrices from the White British cohort in the UK Biobank in Zarr format","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biobank; White (mutation); Cohort; Geography; Demography; Genealogy; Medicine; History; Sociology; Biology; Genetics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001217345,0.0009495532,0.001634273,0.001722027,0.001029504,0.001641726,0.001995926,0.001155286,0.0633295],"category_scores_gemma":[0.007438561,0.00081499,0.0007701911,0.004203589,0.0003099198,0.000482621,0.001214846,0.001165855,0.04528537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498325,"about_ca_system_score_gemma":0.002461331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1060587,"about_ca_topic_score_gemma":0.1925087,"domain_scores_codex":[0.9991103,0.0001394917,0.0001443241,0.0003044695,0.0001949761,0.0001063622],"domain_scores_gemma":[0.9977098,0.0005121582,0.0002666447,0.000749019,0.0005631737,0.0001992974],"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":[0.0002625078,0.00002315856,0.003544362,0.0006269331,0.0000981652,0.0001107682,0.0000885456,0.0003638621,0.0004875192,0.0006403526,0.9885055,0.005248355],"study_design_scores_gemma":[0.0008244189,0.00004800891,0.05076313,0.0004911566,0.0001636721,0.000484595,0.000195948,0.0008338753,0.0009989422,0.002543809,0.9425632,0.00008923624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001015936,0.0000774826,0.0002964575,0.0000515825,0.00001634093,0.00001872197,0.9975443,0.0002946771,0.0006843616],"genre_scores_gemma":[0.001720694,0.00005595226,0.0007948118,0.00006163642,0.000006471079,0.0001285719,0.9955508,0.0001284884,0.001552688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1060587,"threshold_uncertainty_score":0.2118583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317811722644433,"score_gpt":0.227100135253007,"score_spread":0.2139220180265626,"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."}}