{"id":"W4287201080","doi":"","title":"Do Remittances Mitigate COVID-19 Employment Shock on Food Insecurity? Evidence from Nigeria","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Food insecurity; Shock (circulatory); Food security; Business; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Development economics; Geography; Agriculture; Medicine; Virology","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":[0.0008893357,0.000218658,0.0002284771,0.0003723525,0.0002237244,0.0005072235,0.000251713,0.000341099,0.002156195],"category_scores_gemma":[0.002669434,0.00008795559,0.0002791912,0.0004068941,0.0003955032,0.0004011071,0.0005167318,0.0004768962,0.0001865032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003610021,"about_ca_system_score_gemma":0.0004820638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028767,"about_ca_topic_score_gemma":0.01435598,"domain_scores_codex":[0.9996939,0.0001561619,0.00001893022,0.00003244391,0.00003070931,0.00006783944],"domain_scores_gemma":[0.9976992,0.001179087,0.0007730356,0.00006534065,0.0001698678,0.000113489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002010558,0.0006892158,0.8987098,0.001620466,0.0004089109,0.002080375,0.00228275,0.003896458,0.002261879,0.004978715,0.001511278,0.07954958],"study_design_scores_gemma":[0.00004325972,0.0007226233,0.9811108,0.0006385907,0.0002619918,0.0001790625,0.006040445,0.001546287,0.001359937,0.0009552051,0.007127627,0.00001421967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913913,0.003279352,0.0002048328,0.0008167659,0.00002365569,0.00001882517,0.0002355404,0.000002634465,0.00402705],"genre_scores_gemma":[0.9963397,0.002769483,0.00009198566,0.00007496282,0.00001774676,0.000005446039,0.0001092888,0.00000113082,0.0005903583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01028767,"threshold_uncertainty_score":0.0204556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06552900022349807,"score_gpt":0.2761409861830768,"score_spread":0.2106119859595788,"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."}}