{"id":"W4389164112","doi":"10.1101/2023.11.30.23299001","title":"CHIP is associated with cardiovascular disease in the UK Biobank","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Biobank; Disease; Confounding; Cohort; Biology; Anticipation (artificial intelligence); Genetics; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001020461,0.000156886,0.0002593216,0.001371213,0.0004461777,0.0009434103,0.0003778496,0.0005472372,0.005950474],"category_scores_gemma":[0.006831201,0.0002098063,0.0001698214,0.002534408,0.0002590994,0.0002542257,0.0009010839,0.0003645195,0.0007999304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005636122,"about_ca_system_score_gemma":0.0003387683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399081,"about_ca_topic_score_gemma":0.02474295,"domain_scores_codex":[0.9989459,0.0002890802,0.0001357676,0.0002921791,0.000212939,0.0001241782],"domain_scores_gemma":[0.9957624,0.0009453914,0.001824066,0.0006363674,0.0005282608,0.0003036436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002907635,0.00001562616,0.9807108,0.00007355186,0.00009278879,0.00018494,0.0003692455,0.00007369741,0.001328044,0.0003743408,0.00933476,0.007151437],"study_design_scores_gemma":[0.00002128757,0.00003063376,0.9936743,0.0000591547,0.0000372551,0.0003638983,0.000184816,0.0001473783,0.0003490048,0.0001726431,0.004950939,0.0000087371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975684,0.00117005,0.0008352938,0.00123771,0.00007506375,0.00002917328,0.01732246,0.00003633615,0.003610103],"genre_scores_gemma":[0.9900794,0.0004539495,0.0007961453,0.0006109339,0.00005543739,0.00004352555,0.006029544,0.00001870472,0.001912326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02399081,"threshold_uncertainty_score":0.04770231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242147860471145,"score_gpt":0.299508185544158,"score_spread":0.2470867069394465,"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."}}