{"id":"W4414275002","doi":"10.1038/d41586-025-02993-x","title":"Which diseases will you have in 20 years? This AI accurately predicts your risks","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Medical record; MEDLINE; Risk assessment; Risk factor","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":[0.0006898715,0.0003908244,0.0004225979,0.001509838,0.0005894885,0.0009707581,0.0004175824,0.0008000455,0.009798069],"category_scores_gemma":[0.006243027,0.0001607307,0.0006009481,0.0009404137,0.0001984637,0.001056785,0.0004478709,0.001493493,0.00438206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005125734,"about_ca_system_score_gemma":0.0004743286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006903743,"about_ca_topic_score_gemma":0.00896144,"domain_scores_codex":[0.9994631,0.0001239659,0.00005794242,0.00006190255,0.0001906335,0.0001024701],"domain_scores_gemma":[0.9977457,0.0006857846,0.0005274217,0.0001157869,0.0005340618,0.0003913046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002120001,0.0001340575,0.8519113,0.0001225924,0.0001205372,0.0005246488,0.0001171866,0.0003394107,0.0006718223,0.001742,0.06127804,0.08282636],"study_design_scores_gemma":[0.00007556014,0.0004942128,0.8213961,0.001029226,0.0006107535,0.007815009,0.001234687,0.007426939,0.002263802,0.01452725,0.142997,0.0001295161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4697978,0.03558275,0.01595764,0.09427765,0.006592172,0.0003472095,0.0309187,0.0009014948,0.3456246],"genre_scores_gemma":[0.9313444,0.01262257,0.01119884,0.01288465,0.003261993,0.0001454372,0.00840542,0.00008535734,0.02005137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009798069,"threshold_uncertainty_score":0.03277785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290980787468078,"score_gpt":0.381190660624629,"score_spread":0.3482808527499482,"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."}}