{"id":"W3187112639","doi":"10.1162/asep_a_00832","title":"Shigeyuki Abe Comment on How Did Japan Cope with COVID-19? Big Data and Purchasing Behavior","year":2021,"lang":"en","type":"article","venue":"Asian Economic Papers","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Download; Icon; Citation; Coronavirus disease 2019 (COVID-19); Advertising; Index (typography); Business; Internet privacy; Library science; World Wide Web; Marketing; Computer science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005831956,0.0003356381,0.0005861308,0.0002082598,0.0002587117,0.0003216187,0.0005426119,0.0001456139,0.0004180234],"category_scores_gemma":[0.0003506,0.0003877583,0.00006948673,0.0001280322,0.0001919699,0.0002922285,0.0003568082,0.0002669019,0.0002265122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008348484,"about_ca_system_score_gemma":0.0003750606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004516311,"about_ca_topic_score_gemma":0.0008340488,"domain_scores_codex":[0.9977029,0.00003942134,0.0004814175,0.001170846,0.00004709213,0.0005583545],"domain_scores_gemma":[0.9974305,0.0001843415,0.0003583306,0.001479191,0.00001000553,0.0005376178],"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":[0.0003258985,0.0005482648,0.8425239,0.0002413109,0.0007522645,0.0003319611,0.004750644,0.000467019,0.0004386494,0.02638896,0.0497302,0.07350089],"study_design_scores_gemma":[0.002901519,0.0002444974,0.0736584,0.00005127916,0.00005007881,0.0001123537,0.00170534,0.0004723457,0.0001269065,0.000433095,0.9194185,0.0008257393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7848608,0.001308237,0.0007724761,0.1636062,0.001473178,0.001123706,0.003575346,0.0001799196,0.04310012],"genre_scores_gemma":[0.9742879,0.0003394751,0.0003294326,0.02344047,0.0002303307,0.00004043305,0.0003444584,0.00006952923,0.0009179096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8696883,"threshold_uncertainty_score":0.9998574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09545477181963502,"score_gpt":0.2790306452895399,"score_spread":0.1835758734699048,"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."}}