{"id":"W4401235931","doi":"10.2139/ssrn.4909741","title":"South Asia, Let's Examine our Discriminatory Pandemic Policies","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Political science; Geography; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.003501704,0.0005657279,0.000447009,0.0009625105,0.003424027,0.005358353,0.0009194314,0.002650627,0.0233695],"category_scores_gemma":[0.007461696,0.000192233,0.0005083912,0.001357842,0.005047712,0.006078472,0.003625702,0.008675202,0.002177977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004418974,"about_ca_system_score_gemma":0.007054036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04485905,"about_ca_topic_score_gemma":0.04179353,"domain_scores_codex":[0.9985633,0.0004356778,0.0000758008,0.0001031208,0.0002647018,0.0005573098],"domain_scores_gemma":[0.9970773,0.0008479715,0.0005360732,0.0003946097,0.0006677179,0.0004762706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009945221,0.000131234,0.01235786,0.0004052184,0.00006451402,0.0005621486,0.01156132,0.0007799455,0.001152204,0.881076,0.0503355,0.0414746],"study_design_scores_gemma":[0.00006414857,0.0002690717,0.029684,0.00153639,0.00008799517,0.0007921567,0.04246795,0.0007517355,0.001959982,0.2736325,0.6486181,0.0001359788],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06591859,0.007548845,0.003945453,0.6092908,0.004069604,0.00008160849,0.0009524205,0.00009998157,0.3080927],"genre_scores_gemma":[0.7257265,0.01458473,0.004902458,0.1772015,0.001970477,0.0001797345,0.0004998714,0.0001323984,0.07480223],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04485905,"threshold_uncertainty_score":0.08919591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1570297746245869,"score_gpt":0.409421466688229,"score_spread":0.2523916920636421,"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."}}