{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5b18ea704d8a","filters":{"venue":"Journal of Development and Integration"}},"results":[{"id":"W4388348684","doi":"10.61602/jdi.2023.68.10","title":"Impact of the Covid-19 pandemic on Vietnamese labor market","year":2023,"lang":"en","type":"article","venue":"Journal of Development and Integration","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Vietnamese; Quarter (Canadian coin); Pandemic; Unemployment; Coronavirus disease 2019 (COVID-19); Demographic economics; Inequality; Immigration; Unemployment rate; Economics; Labour economics; Development economics; Business; Economic growth; Political science; Geography; Medicine","authors":[{"name":"Nga Thi Viet Nguyen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07212539040704292,"gpt":0.3124180134391994,"spread":0.2402926230321565,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004795956,0.0001061395,0.0001326007,0.0003948993,0.0004159947,0.001119872,0.000163643,0.0003492891,0.004366818],"category_scores_gemma":[0.001023737,0.00005536382,0.0001565256,0.0004986421,0.0003062697,0.0006568077,0.0005202341,0.0005418421,0.000143041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232677,"about_ca_system_score_gemma":0.001554425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09000994,"about_ca_topic_score_gemma":0.07851252,"domain_scores_codex":[0.9997284,0.00009319931,0.000007063567,0.00001775601,0.0000336269,0.0001199851],"domain_scores_gemma":[0.9995934,0.000100398,0.00009924767,0.000006833905,0.00008789385,0.0001120928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001352837,0.0002402911,0.8412906,0.0002232605,0.00007602383,0.003302175,0.002582322,0.009472925,0.0005583172,0.0674343,0.02512059,0.04956393],"study_design_scores_gemma":[0.00002219425,0.0002645109,0.8841219,0.0004484155,0.00005565428,0.000410655,0.0316917,0.02864702,0.0004206572,0.01730928,0.03656418,0.00004378277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214325,0.00516386,0.0008522457,0.03465374,0.0002363397,0.00004241271,0.002080496,0.00001075951,0.03552759],"genre_scores_gemma":[0.9948954,0.001768368,0.00008991301,0.0004378566,0.00006820991,0.000007587955,0.0002661645,0.000002135034,0.002464373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09000994,"threshold_uncertainty_score":0.178972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}