{"id":"W4404461926","doi":"10.34689/sh.2024.26.4.018","title":"ANALYSIS OF THE RELATIONSHIP BETWEEN MORBIDITY, MORTALITY AND RESTRICTIVE MEASURES IN DIFFERENT COUNTRIES DURING THE COVID-19 PANDEMIC","year":2024,"lang":"en","type":"article","venue":"Ġylym men densaulyķ saķtau.","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Geography; Demography; Medicine; Virology; Sociology; Infectious disease (medical specialty); Outbreak; Disease","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":[0.001334503,0.0002594883,0.0003423961,0.00237351,0.00033669,0.0008024272,0.0002708397,0.0003661559,0.001473199],"category_scores_gemma":[0.004184755,0.0001735933,0.0009131634,0.002841858,0.0003207435,0.000590097,0.0006395723,0.0006103855,0.0002538781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005174,"about_ca_system_score_gemma":0.0005196269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005180035,"about_ca_topic_score_gemma":0.003964538,"domain_scores_codex":[0.998867,0.0003806754,0.0001811718,0.0001951507,0.0001617809,0.0002141685],"domain_scores_gemma":[0.9960546,0.001440201,0.001479663,0.0001558611,0.0004778306,0.0003918386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007464342,0.00001944785,0.9983997,0.00001641709,0.00006390061,0.00004914507,0.00009068667,0.0002111535,0.0000270787,0.00002517567,0.000185728,0.0008369935],"study_design_scores_gemma":[0.000002070369,0.00007207348,0.9984488,0.0000106812,0.00002521985,0.00008384671,0.0007535554,0.0003582443,0.00004217896,0.00001926647,0.0001788053,0.000005243459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964922,0.0002943512,0.0001004035,0.00006948387,0.0000113332,0.00001511839,0.002300102,0.000004697075,0.0007123013],"genre_scores_gemma":[0.9972587,0.0001330221,0.000102195,0.00001559888,0.0000101362,0.00002405883,0.002312439,0.000002109274,0.0001417875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005180035,"threshold_uncertainty_score":0.01029974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2552809069799875,"score_gpt":0.4459883241101636,"score_spread":0.1907074171301761,"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."}}