{"id":"W4393422338","doi":"10.5281/zenodo.7036625","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biobank; White (mutation); Cohort; Genealogy; Geography; Demography; Medicine; History; Sociology; Biology; Internal medicine; Genetics","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":[0.001285388,0.0009686822,0.001642304,0.001897615,0.001080014,0.001863756,0.002109537,0.001190647,0.07612986],"category_scores_gemma":[0.008200466,0.0008294904,0.0007849842,0.004646658,0.0003152965,0.0005386904,0.001297482,0.001212625,0.05540435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565752,"about_ca_system_score_gemma":0.00256695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.105248,"about_ca_topic_score_gemma":0.1759443,"domain_scores_codex":[0.9989691,0.0001547487,0.0001670758,0.0003471715,0.0002388507,0.0001230668],"domain_scores_gemma":[0.9973585,0.0005349319,0.0003042318,0.0009014808,0.0006769138,0.0002239246],"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":[0.0002281306,0.00002109661,0.00305926,0.0005185768,0.0000806426,0.0000903591,0.0000767945,0.0003121511,0.0004106133,0.0005867995,0.9895014,0.005114115],"study_design_scores_gemma":[0.0007342279,0.00004795887,0.04752619,0.0004304628,0.0001439004,0.0004869073,0.0001783697,0.000793695,0.0009333142,0.002529794,0.9461085,0.0000865587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000903354,0.00007491896,0.0003141603,0.00005307313,0.00001931424,0.00001914199,0.9975864,0.0003052424,0.0007244034],"genre_scores_gemma":[0.001520281,0.00005327728,0.0007171355,0.00005638392,0.000007221327,0.0001190131,0.9958038,0.000130175,0.001592772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.105248,"threshold_uncertainty_score":0.2546797,"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."}}