{"id":"W2022775334","doi":"10.1016/j.ypmed.2010.02.009","title":"Military combat and burden of subclinical atherosclerosis in middle aged men: The ARIC Study","year":2010,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute","keywords":"Medicine; Subclinical infection; Military service; Atherosclerosis Risk in Communities; Confidence interval; Gerontology; Demography; Military personnel; Combat stress reaction; Internal medicine; Psychiatry","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":[0.0008442461,0.0006346007,0.0006971164,0.0008003669,0.0008284541,0.0009948745,0.000610204,0.001355609,0.001184217],"category_scores_gemma":[0.001255104,0.0006680803,0.0009533251,0.001442598,0.000310111,0.0006292774,0.0006511115,0.001250036,0.0002778312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582611,"about_ca_system_score_gemma":0.0005312296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02513372,"about_ca_topic_score_gemma":0.02045791,"domain_scores_codex":[0.9995474,0.0001429084,0.00003340925,0.00009567755,0.00007328343,0.0001073009],"domain_scores_gemma":[0.9990152,0.00009968042,0.0003275044,0.0001599382,0.0000933928,0.0003042235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008479093,0.0001678258,0.9968696,0.00001322088,0.0003897915,0.0000691354,0.00009258126,0.00005391377,0.0004339731,0.00004025501,0.0002548379,0.0007670244],"study_design_scores_gemma":[0.00003157722,0.00009288419,0.9992867,0.000003660568,0.0001332737,0.00005514313,0.0001243764,0.0001070085,0.00001911161,0.00001665953,0.0001247693,0.000004919068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980325,0.0006820749,0.00005133605,0.00009027294,0.00002018897,0.000006250338,0.00056317,0.000005035332,0.000549018],"genre_scores_gemma":[0.9989437,0.000291491,0.00004414619,0.00003844151,0.0000545695,0.000008206806,0.0003479557,0.000002968461,0.0002684876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02513372,"threshold_uncertainty_score":0.04997486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141439487431247,"score_gpt":0.4600417700798639,"score_spread":0.3458978213367392,"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."}}