{"id":"W3206109234","doi":"10.1016/j.jjie.2021.101170","title":"The heterogeneous effects of COVID-19 on labor markets: People’s movement and non-pharmaceutical interventions","year":2021,"lang":"en","type":"article","venue":"Journal of the Japanese and International Economies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Earnings; Counterfactual thinking; Demographic economics; Coronavirus disease 2019 (COVID-19); Psychological intervention; Unemployment; Economics; Work (physics); Index (typography); Labour economics; Medicine; Psychology; Economic growth","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":[0.003515368,0.0002343453,0.0006050983,0.00037324,0.00041568,0.0007133863,0.0004575937,0.0006977657,0.004171767],"category_scores_gemma":[0.008862359,0.0001311503,0.0006740058,0.0004612333,0.000845502,0.0005442493,0.00121737,0.0006541749,0.0001581531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103652,"about_ca_system_score_gemma":0.0009810672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007430398,"about_ca_topic_score_gemma":0.007780978,"domain_scores_codex":[0.9975546,0.001309502,0.0001092823,0.0003126529,0.0002220012,0.0004919089],"domain_scores_gemma":[0.9947953,0.002239956,0.00202823,0.0003467282,0.0001614425,0.0004284213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01366244,0.005920446,0.7409075,0.0006850699,0.001647255,0.001010364,0.001519377,0.009529334,0.004682277,0.01207808,0.001648398,0.2067094],"study_design_scores_gemma":[0.0004285523,0.004913901,0.9806663,0.00006391609,0.0003528165,0.0000430874,0.001050845,0.00539264,0.001194001,0.003390521,0.002484635,0.00001867286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938113,0.0008640995,0.0008423554,0.0008535818,0.00004162758,0.0001335606,0.0002696411,0.000008144988,0.003175766],"genre_scores_gemma":[0.9984888,0.0001988595,0.0001951342,0.0002003739,0.0000250494,0.00006363144,0.00007802593,0.000001529258,0.0007485951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007430398,"threshold_uncertainty_score":0.01859123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354900407475267,"score_gpt":0.3100733933570149,"score_spread":0.2765243892822623,"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."}}