{"id":"W3199725821","doi":"10.1371/journal.pone.0257469","title":"Resilience against the pandemic: The impact of COVID-19 on migration and household welfare in Tajikistan","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan International Cooperation Agency; World Bank Group","keywords":"Pandemic; Welfare; Demographic economics; Quarter (Canadian coin); Outbreak; Coronavirus disease 2019 (COVID-19); Stock (firearms); Geography; Psychological resilience; Socioeconomics; Remittance; Development economics; Economics; Demography; Business; Economic growth; Medicine; Infectious disease (medical specialty)","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":[0.0006742805,0.0003104199,0.000291722,0.0006988655,0.0008416449,0.0009781258,0.0004041803,0.0006030558,0.0023256],"category_scores_gemma":[0.001717396,0.0001804828,0.0005026258,0.0013154,0.0005047695,0.0007416621,0.001726516,0.001073078,0.0002365444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009594027,"about_ca_system_score_gemma":0.001045169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09155584,"about_ca_topic_score_gemma":0.1031755,"domain_scores_codex":[0.9995949,0.00009491503,0.00001863858,0.00004675547,0.00002322775,0.0002216932],"domain_scores_gemma":[0.9993339,0.0001007018,0.0002828861,0.00003887142,0.000082096,0.0001614509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001152256,0.0001385243,0.9861535,0.00005673748,0.0001790683,0.0006683802,0.001302054,0.003234166,0.0003848807,0.0005587741,0.002063737,0.00514502],"study_design_scores_gemma":[0.000006143296,0.00005586191,0.9927666,0.00003489867,0.00004105371,0.00004990796,0.003888575,0.00206158,0.0000700775,0.0001967234,0.0008174708,0.00001119811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976016,0.00008511367,0.00006429516,0.0005749697,0.000009475942,0.000008376577,0.0009563634,0.000003891906,0.0006959145],"genre_scores_gemma":[0.9986625,0.00008577374,0.00004186266,0.00009510553,0.000006844008,0.00001190784,0.0008760426,0.000001071847,0.0002190652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09155584,"threshold_uncertainty_score":0.1820458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06520900418050722,"score_gpt":0.3195763152673476,"score_spread":0.2543673110868404,"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."}}