{"id":"W2128170302","doi":"10.1001/archinte.163.3.333","title":"The Importance of Indirect Costs in Primary Cardiovascular Disease Prevention","year":2003,"lang":"en","type":"article","venue":"Archives of Internal Medicine","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital","funders":"","keywords":"Indirect costs; Life expectancy; Medicine; Productivity; Environmental health; Cost–benefit analysis; Cost effectiveness; Economic cost; Business; Economics; Population; Risk analysis (engineering); Biology; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150141,0.0001155617,0.0005645239,0.0001262924,0.00002658574,0.000001529263,0.0001272849,0.00002375261,0.00001807352],"category_scores_gemma":[0.0007082048,0.00006939872,0.0004224032,0.0001543427,0.0002900613,0.00003007254,0.00003093649,0.0001888716,7.799139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004781312,"about_ca_system_score_gemma":0.0001744335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002423589,"about_ca_topic_score_gemma":0.00003255297,"domain_scores_codex":[0.9982605,0.0002321037,0.0005371303,0.0001965536,0.0005853957,0.0001883086],"domain_scores_gemma":[0.9988317,0.0001729653,0.0001593137,0.0006459297,0.00004467114,0.0001454016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001843127,0.0003402906,0.622732,0.001251979,0.002228984,0.0002549947,0.0008282615,0.00002912656,0.002784688,0.002670591,0.0001657563,0.3648701],"study_design_scores_gemma":[0.004648024,0.0007434051,0.975274,0.003428112,0.0004243658,0.0001028487,0.0002870529,0.00004902324,0.003584163,0.002093585,0.009259346,0.0001060488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270554,0.0438407,0.00128626,0.0004027196,0.0001837761,0.0007098743,0.000003338211,0.00001003915,0.02650789],"genre_scores_gemma":[0.9960881,0.002981444,0.0003534099,0.0001450667,0.0001092785,0.00002770845,0.000007055413,0.00001410342,0.0002738617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3647641,"threshold_uncertainty_score":0.2829998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182789289213579,"score_gpt":0.2651900897868011,"score_spread":0.2533621968946653,"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."}}