{"id":"W3162689029","doi":"","title":"The relationship between pandemic containment measures, mobility and economic activity","year":2021,"lang":"en","type":"article","venue":"Occasional Papers","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Containment (computer programming); Scale (ratio); Demographic economics; Econometrics; Economics; Development economics; Geography; Computer science; Medicine; Cartography","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":[],"consensus_categories":[],"category_scores_codex":[0.001234648,0.0001417586,0.0002655926,0.00004333768,0.0003837114,0.00008239759,0.0001347581,0.0001185458,0.0001276466],"category_scores_gemma":[0.001418531,0.0001328106,0.0000977517,0.00007899409,0.0001292813,0.0001474656,0.0001074289,0.0002637047,0.0001773512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005765809,"about_ca_system_score_gemma":0.0001785592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002701406,"about_ca_topic_score_gemma":0.0003473846,"domain_scores_codex":[0.9987981,0.00006489072,0.0003683463,0.0004329998,0.00005818159,0.0002775197],"domain_scores_gemma":[0.9969907,0.002304538,0.0001800586,0.0003638621,0.00001626959,0.0001445696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002317643,0.00001629072,0.9653605,0.000008219876,0.0000382641,0.000001820729,0.00007186471,0.0000345274,0.00009378877,0.03182443,0.0002439127,0.002283221],"study_design_scores_gemma":[0.0004337707,0.00001772786,0.9074285,0.000007624803,0.000007482226,0.000007418866,0.00004643147,0.00007079296,0.00003380795,0.01972633,0.07206937,0.0001507456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877618,0.001573326,0.00009565013,0.003169932,0.0002357875,0.0001648134,0.0001538826,0.00002988257,0.006814955],"genre_scores_gemma":[0.9981996,0.000237516,0.00003614073,0.0003629778,0.0001061939,0.0000173367,0.00001406655,0.00001410338,0.001012103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07182545,"threshold_uncertainty_score":0.541586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09854304996022777,"score_gpt":0.2882403971688829,"score_spread":0.1896973472086552,"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."}}