{"id":"W4387122668","doi":"10.18357/anthropologica65120231066","title":"Using the Pandemic for Their Own Gain: The Experiences of COVID in Serbia","year":2023,"lang":"en","type":"article","venue":"Anthropologica","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Curfew; Pandemic; Government (linguistics); Context (archaeology); State of emergency; Serbian; Criticism; Politics; Political science; State (computer science); Coronavirus disease 2019 (COVID-19); Sociology; History; Law; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003797503,0.001188129,0.001167759,0.001481343,0.01714754,0.006548326,0.0009883059,0.001925534,0.002757232],"category_scores_gemma":[0.003879998,0.0008080886,0.0005490679,0.001095298,0.01055823,0.004710932,0.009759445,0.00533695,0.0003877143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003585099,"about_ca_system_score_gemma":0.003611112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0193156,"about_ca_topic_score_gemma":0.03916495,"domain_scores_codex":[0.9968897,0.001954162,0.00008333201,0.0001245315,0.0001495929,0.0007986902],"domain_scores_gemma":[0.9982048,0.0006575421,0.0003232354,0.0000836097,0.0001420293,0.0005886951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003486901,0.0000312539,0.004009106,0.00006956713,0.000005921106,0.0007383681,0.9915653,0.00001318009,0.0001622872,0.0008260853,0.0006054725,0.001938576],"study_design_scores_gemma":[0.000001579698,0.00002938634,0.001753638,0.0001126679,0.000003465241,0.0002053853,0.9943604,0.000007499746,0.00003241261,0.00006826132,0.003418296,0.000007106239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919016,0.002036423,0.0001284079,0.00160001,0.0001501684,0.00001936499,0.00003376751,0.000005267032,0.004124919],"genre_scores_gemma":[0.9962004,0.001483036,0.00009506389,0.0007569233,0.00003501707,0.00002154863,0.00002685264,0.000009036707,0.001372136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0193156,"threshold_uncertainty_score":0.03840631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2294679546601895,"score_gpt":0.4712765040421982,"score_spread":0.2418085493820087,"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."}}