{"id":"W2999475371","doi":"10.1007/s00038-019-01325-x","title":"Assessing the quality of cause of death data in six high-income countries: Australia, Canada, Denmark, Germany, Japan and Switzerland","year":2020,"lang":"en","type":"article","venue":"International Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"Melbourne Research, University of Melbourne","keywords":"High income countries; Public health; Environmental health; Medicine; Geography; Demography; Socioeconomics; Economic growth; Developing country; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005708768,0.0003043303,0.0006319324,0.002964618,0.0008723746,0.00171813,0.0006943465,0.0004549552,0.0005754502],"category_scores_gemma":[0.01785788,0.00027487,0.0008120195,0.005380746,0.0005755347,0.0006350124,0.001709292,0.0005533575,0.00006469763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004451104,"about_ca_system_score_gemma":0.008753216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7471001,"about_ca_topic_score_gemma":0.7963279,"domain_scores_codex":[0.9965192,0.001011175,0.0006490143,0.000323138,0.0009417444,0.0005557183],"domain_scores_gemma":[0.983382,0.003457596,0.003790454,0.000780775,0.007222208,0.00136688],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007850141,0.0000117444,0.9958835,0.00007207969,0.0002783011,0.00003537631,0.0004277361,0.0002924862,0.00005817884,0.0001109287,0.000398264,0.002352726],"study_design_scores_gemma":[0.000004592353,0.0000137692,0.9978866,0.00004431347,0.0000969301,0.00002905749,0.0008600423,0.0003824937,0.00008623082,0.00002602804,0.0005618695,0.000008118172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896206,0.0009198423,0.0002974741,0.000293687,0.00002055033,0.00002872504,0.007470318,0.000007117504,0.00134186],"genre_scores_gemma":[0.9944243,0.0002667269,0.000384029,0.00003522765,0.000003441191,0.00001321514,0.004684157,0.000002972125,0.0001860297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9942912,"threshold_uncertainty_score":0.5087785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2366594623719192,"score_gpt":0.4825371841157235,"score_spread":0.2458777217438044,"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."}}