{"id":"W3193820392","doi":"10.1007/s42973-021-00092-w","title":"Trade-off between job losses and the spread of COVID-19 in Japan","year":2021,"lang":"en","type":"article","venue":"Japanese Economic Review","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Economics; Social planner; Constraint (computer-aided design); Demographic economics; Coronavirus disease 2019 (COVID-19); Job loss; Short run; Benchmark (surveying); Econometrics; Labour economics; Medicine; Microeconomics; Unemployment; Mathematics; Macroeconomics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003246852,0.0002195099,0.001705724,0.00003188908,0.00006729417,0.0000150988,0.0002782423,0.00008469357,0.0003317777],"category_scores_gemma":[0.0138199,0.0001355428,0.000239385,0.0001362273,0.0003549035,0.00006418873,0.0002519694,0.0001883884,0.00003582711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863797,"about_ca_system_score_gemma":0.0001469124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004029914,"about_ca_topic_score_gemma":0.0004650219,"domain_scores_codex":[0.997364,0.0007582509,0.001160783,0.0003990562,0.00007601568,0.0002418909],"domain_scores_gemma":[0.9862883,0.01263589,0.0003923532,0.0005532791,0.00001560114,0.0001145824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001370538,0.00029417,0.5727412,0.073582,0.001169092,0.00006501365,0.01026252,0.00004964213,0.00002661498,0.162583,0.08943479,0.08965489],"study_design_scores_gemma":[0.005051919,0.0001282361,0.1518863,0.00573847,0.001042612,0.0001105925,0.001791143,0.0001476695,0.00004540225,0.3028916,0.5300707,0.00109533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6082932,0.310529,0.00001800574,0.07662874,0.00009614589,0.001333071,0.00005241719,0.00005044684,0.002998909],"genre_scores_gemma":[0.6014018,0.3864764,0.0004749677,0.01081584,0.0001932374,0.0001948025,0.00001050241,0.00003155893,0.0004008868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4406359,"threshold_uncertainty_score":0.9944871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1991706239054243,"score_gpt":0.4144432677366884,"score_spread":0.2152726438312641,"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."}}