{"id":"W4206302200","doi":"10.1097/as9.0000000000000126","title":"Stricken Before Election: Presidential Health Crises From 1880 to 2020","year":2022,"lang":"en","type":"article","venue":"Annals of Surgery Open","topic":"History, Medicine, and Leadership","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Presidential election; Administration (probate law); Presidential system; Politics; Coronavirus disease 2019 (COVID-19); Political science; Public administration; Political economy; Economic history; History; Disease; Medicine; Sociology; Law; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00240572,0.00008488054,0.0003417867,0.0001193651,0.0009038625,0.00005979351,0.0005978807,0.00003481946,0.004821266],"category_scores_gemma":[0.000433734,0.00009228157,0.0001016125,0.0005535813,0.0001037265,0.0002099453,0.00002734989,0.0001573453,0.00003798683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008009729,"about_ca_system_score_gemma":0.001203059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1502549,"about_ca_topic_score_gemma":0.01524645,"domain_scores_codex":[0.9977168,0.0006426802,0.0003330978,0.000258355,0.0006896597,0.0003593437],"domain_scores_gemma":[0.9989588,0.0002962213,0.0001822139,0.0001914544,0.00009882244,0.0002724434],"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":[0.00007677769,0.00006493594,0.008942228,0.000008926178,0.00002621097,0.000008886145,0.06439631,0.000008174685,0.000007859837,0.0001284728,0.9146071,0.01172413],"study_design_scores_gemma":[0.00007610946,0.0001082633,0.0161458,0.00002522876,0.000006508321,5.063933e-7,0.07064829,7.055884e-7,0.00005414808,0.000105621,0.9127272,0.0001015645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.416084,0.006034007,0.00006966434,0.3934691,0.006854387,0.001894658,0.0003297268,0.0001773492,0.1750872],"genre_scores_gemma":[0.9774253,0.00004212253,0.00003862553,0.01034481,0.001003241,0.00006797343,0.0000478929,0.00001460601,0.01101546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5613413,"threshold_uncertainty_score":0.9960884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2609163335948038,"score_gpt":0.4241810279303903,"score_spread":0.1632646943355865,"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."}}