{"id":"W2120600987","doi":"10.1002/bjs.9956","title":"Assessment of risk of peripheral vascular disease and vascular care capacity in low- and middle-income countries","year":2015,"lang":"en","type":"article","venue":"British journal of surgery","topic":"Global Health and Surgery","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"Fogarty International Center; National Institutes of Health; National Heart, Lung, and Blood Institute; University of Washington","keywords":"Medicine; Health care; Vascular disease; Disease burden; Risk factor; Risk assessment; Environmental health; Disease; Physical therapy; Intensive care medicine; Gerontology; Surgery; Internal medicine; Economic growth","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":[0.0008682933,0.0003726485,0.0002340965,0.001695365,0.0002523382,0.0006434225,0.0003549827,0.0002841455,0.002017178],"category_scores_gemma":[0.002823406,0.0001464542,0.0002552611,0.001946674,0.0004115953,0.0006144608,0.0008428022,0.0003662706,0.0002256264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007925708,"about_ca_system_score_gemma":0.0006545447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179146,"about_ca_topic_score_gemma":0.008237426,"domain_scores_codex":[0.9994537,0.0002028675,0.00007443943,0.00007109554,0.000094272,0.0001036011],"domain_scores_gemma":[0.9978821,0.0003016997,0.001250552,0.00005491274,0.0002303051,0.0002803868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002435532,0.00001755105,0.995765,0.00004998484,0.00002232623,0.00007138603,0.0002191296,0.0001302195,0.00004192324,0.00005627375,0.0002617972,0.003340233],"study_design_scores_gemma":[0.000004686535,0.00005061554,0.9971571,0.0001082902,0.00001752873,0.0002701449,0.0007914119,0.0002782119,0.0000536656,0.0001366598,0.00112693,0.000004828454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926242,0.00206044,0.0003508583,0.0006776674,0.00001383024,0.00004128786,0.002204519,0.00001060367,0.002016527],"genre_scores_gemma":[0.9986191,0.0004400283,0.0002870614,0.00003469264,0.000008319479,0.00002411459,0.0004951956,0.000001005598,0.00009047031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01179146,"threshold_uncertainty_score":0.02344567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817965686724745,"score_gpt":0.2688982724574943,"score_spread":0.2407186155902468,"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."}}