{"id":"W2025236314","doi":"10.1016/j.jclinepi.2006.05.005","title":"Finding information about the burden of disease","year":2006,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Institute of Population and Public Health","funders":"","keywords":"Epidemiology; Clinical epidemiology; Medicine; Clinical Practice; MEDLINE; Disease; Data science; Family medicine; Intensive care medicine; Computer science; Pathology; Political science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006207278,0.0005341063,0.001271224,0.01177356,0.0004949336,0.002768163,0.0008901322,0.001683712,0.009058106],"category_scores_gemma":[0.05391498,0.0005127183,0.001022134,0.007666354,0.0004302652,0.005357299,0.001832679,0.001901311,0.001488734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008618769,"about_ca_system_score_gemma":0.002390568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00755986,"about_ca_topic_score_gemma":0.00689568,"domain_scores_codex":[0.9958182,0.001586514,0.0007657278,0.0003931361,0.001197932,0.0002385242],"domain_scores_gemma":[0.9567226,0.03026721,0.006753213,0.001907823,0.00269757,0.001651567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003109729,0.0003678352,0.6476401,0.002731342,0.0009900494,0.0003888394,0.001192676,0.0006738454,0.0005586572,0.002951553,0.04476496,0.2974291],"study_design_scores_gemma":[0.0003461882,0.0006447592,0.8720836,0.007257939,0.002316742,0.001257817,0.005078321,0.002866016,0.00145124,0.02930643,0.07721011,0.0001808004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5692382,0.09966405,0.01664943,0.1519506,0.002415856,0.0005196288,0.1019506,0.000374765,0.05723685],"genre_scores_gemma":[0.880692,0.05698827,0.01208511,0.007990957,0.003442349,0.000184212,0.03515397,0.00006791941,0.003395311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9972318,"threshold_uncertainty_score":0.03282762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3255503702633889,"score_gpt":0.6006289123668296,"score_spread":0.2750785421034407,"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."}}