{"id":"W3177880373","doi":"10.2298/stnv2101017j","title":"COVID-19 and excess mortality: Was it possible to lower the number of deaths in Slovenia?","year":2021,"lang":"en","type":"article","venue":"Stanovnistvo","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Excess mortality; Coronavirus disease 2019 (COVID-19); Demography; Quarter (Canadian coin); Population; Mortality rate; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; 2019-20 coronavirus outbreak; Geography; Disease; Virology; Internal medicine; Infectious disease (medical specialty); Outbreak","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250527,0.000211497,0.0003552944,0.0009720719,0.0002038578,0.001387149,0.0002379579,0.0003540286,0.002984874],"category_scores_gemma":[0.002697221,0.0001265909,0.0006335718,0.001068597,0.0004995172,0.0007207439,0.001144219,0.0008730976,0.0002650644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139338,"about_ca_system_score_gemma":0.001775118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02427116,"about_ca_topic_score_gemma":0.02649929,"domain_scores_codex":[0.999284,0.0002181384,0.00009201471,0.0001021977,0.00007019979,0.0002335409],"domain_scores_gemma":[0.9989329,0.0001948679,0.0004497901,0.00005093721,0.0001549994,0.0002164752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001030765,0.00007253272,0.8877274,0.001237549,0.0004595941,0.000583423,0.0006765663,0.001777442,0.0004903611,0.004600238,0.01040859,0.09093559],"study_design_scores_gemma":[0.00001884466,0.00009211648,0.9773858,0.0006755918,0.0001503642,0.0003004026,0.001116417,0.00025072,0.0001648341,0.0007060815,0.01912059,0.00001821314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8904408,0.0664586,0.001169714,0.02103838,0.0007500161,0.00002384569,0.00788363,0.00005684707,0.01217816],"genre_scores_gemma":[0.9815882,0.01299431,0.0004893204,0.00130523,0.0002439986,0.00001203873,0.002202075,0.00001656793,0.001148138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02427116,"threshold_uncertainty_score":0.04825979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09341522389051943,"score_gpt":0.4580549199574199,"score_spread":0.3646396960669004,"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."}}