{"id":"W3153410653","doi":"10.2139/ssrn.3754950","title":"CPI in the Time of Coronavirus","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Work (physics); Index (typography); Social distance; Shut down; Economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Business; Demographic economics; Outbreak; Engineering; Medicine; Computer science","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":[0.001679428,0.0002927724,0.0006395674,0.001323707,0.000638438,0.004364398,0.0006845937,0.003195493,0.02130051],"category_scores_gemma":[0.01808629,0.0002472859,0.0004580371,0.001860352,0.0009145008,0.00369919,0.00117257,0.006931355,0.001325927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002766917,"about_ca_system_score_gemma":0.001828585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980352,"about_ca_topic_score_gemma":0.01322878,"domain_scores_codex":[0.9992564,0.0001255188,0.00003793997,0.0001286798,0.0001553257,0.0002960357],"domain_scores_gemma":[0.9934098,0.002521415,0.001832318,0.0002469527,0.0008923369,0.001097091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001227998,0.0002048748,0.09183335,0.0003617813,0.0002588826,0.001635602,0.0007034414,0.0234079,0.0008548084,0.7501723,0.07916539,0.05017362],"study_design_scores_gemma":[0.0001737969,0.000590917,0.2425153,0.0006391121,0.0003738115,0.001895172,0.004053479,0.07840788,0.001865831,0.4947518,0.1745354,0.0001975822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5440996,0.0172943,0.02110968,0.1372162,0.004713309,0.0001013019,0.01911319,0.0003049371,0.2560475],"genre_scores_gemma":[0.9736553,0.002481932,0.0003541281,0.001379457,0.001248271,0.00002152945,0.001401899,0.00005483808,0.01940263],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02130051,"threshold_uncertainty_score":0.07125723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04256733961801419,"score_gpt":0.2591039488179377,"score_spread":0.2165366091999236,"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."}}