{"id":"W2084154226","doi":"10.1186/1471-2458-7-290","title":"All-cause mortality and risk factors in a cohort of retired military male veterans, Xi'an, China: an 18-year follow up study","year":2007,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"Fourth Military Medical University","keywords":"Medicine; Biostatistics; Epidemiology; China; Public health; Cohort study; Cohort; Environmental health; Demography; Gerontology; Internal medicine; Pathology","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":[0.0004796492,0.0003963893,0.0003230636,0.0007836105,0.0007513343,0.000343428,0.000359679,0.0002917584,0.0007989442],"category_scores_gemma":[0.0005173903,0.0003634828,0.0004241218,0.0008902297,0.0001934314,0.0003230599,0.0003779325,0.0003284152,0.0002214191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005793648,"about_ca_system_score_gemma":0.0007411432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04379084,"about_ca_topic_score_gemma":0.04303801,"domain_scores_codex":[0.9997817,0.00002977147,0.00001949897,0.00005107202,0.00005100913,0.0000669048],"domain_scores_gemma":[0.9996505,0.00001642418,0.00008853927,0.00004193398,0.00006950243,0.0001331709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007129544,0.00004375536,0.9985908,0.000005741841,0.00003383584,0.00008896568,0.0002291345,0.00001446071,0.0002065992,0.000005192121,0.00005686055,0.0006532823],"study_design_scores_gemma":[0.000005627406,0.00005623804,0.9995415,0.000002282796,0.00001618306,0.00006509419,0.0001418347,0.00005247733,0.00002014815,0.000003145999,0.00009385488,0.000001586677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995485,0.00007096787,0.00002680915,0.00001390418,0.000002346721,0.00001076646,0.0002433427,9.349052e-7,0.00008250486],"genre_scores_gemma":[0.9989939,0.000110156,0.0000597663,0.00002681212,0.000008531358,0.00001835951,0.0004910082,9.349329e-7,0.0002904371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04379084,"threshold_uncertainty_score":0.0870719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08623264646212063,"score_gpt":0.3533908700133112,"score_spread":0.2671582235511906,"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."}}