{"id":"W4234084467","doi":"10.1016/j.jval.2017.08.1212","title":"Modelling The Burden Of Cardiovascular Disease In Turkey And The Impact Of Reducing Modifiable Risk Factors","year":2017,"lang":"en","type":"article","venue":"Value in Health","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Conference Board of Canada","funders":"","keywords":"Medicine; Environmental health; Population; Disease; Disease burden; Obesity; Psychological intervention; Gerontology; Demography; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009522575,0.001271101,0.001073352,0.0006364186,0.0004239955,0.001772362,0.001650689,0.002340722,0.004339095],"category_scores_gemma":[0.003788386,0.0006439019,0.001468368,0.0009010711,0.0005355633,0.001013838,0.000931897,0.001741785,0.0003314735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003183375,"about_ca_system_score_gemma":0.004008431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2141614,"about_ca_topic_score_gemma":0.08450266,"domain_scores_codex":[0.9993287,0.0003026071,0.00002894322,0.0001078646,0.00002516603,0.0002066843],"domain_scores_gemma":[0.9981778,0.0011061,0.0002026514,0.00006233939,0.000247472,0.0002036843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002474103,0.00009350349,0.0131852,0.00004146518,0.00009604456,0.0001645873,0.0000427442,0.9803038,0.0001133432,0.002865332,0.0009985627,0.00184798],"study_design_scores_gemma":[0.0001214726,0.0001546811,0.01229334,0.00003565967,0.0001638402,0.00008601914,0.000348747,0.9825017,0.0001363283,0.002899058,0.001213171,0.00004608424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829555,0.0009500759,0.004932065,0.002617425,0.0001179534,0.00004262666,0.003656656,0.00005966999,0.004667974],"genre_scores_gemma":[0.9954765,0.0003448537,0.001155666,0.00006071231,0.00002193051,0.00003803071,0.001010469,0.00001390073,0.001877928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2141614,"threshold_uncertainty_score":0.4258296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0755433532259023,"score_gpt":0.3190786669629878,"score_spread":0.2435353137370855,"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."}}