{"id":"W4200020101","doi":"10.29173/connections29","title":"Working Together While Being Apart: A Pandemic Life","year":2021,"lang":"en","type":"article","venue":"Connections A Journal of Language Media and Culture","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Political science; Virology; Medicine; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003886876,0.000110548,0.0003340933,0.0001336485,0.0001180961,0.00008605321,0.00009581284,0.000120507,0.000669141],"category_scores_gemma":[0.001705256,0.0001009821,0.000121968,0.0002856996,0.00003445493,0.0001680192,0.00003442452,0.0003654054,0.0000250996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006379122,"about_ca_system_score_gemma":0.00008090796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001645199,"about_ca_topic_score_gemma":0.00009112634,"domain_scores_codex":[0.9991376,0.00002830201,0.000436627,0.0001620262,0.00004857517,0.0001868119],"domain_scores_gemma":[0.9991236,0.0001577905,0.000322704,0.0001350912,0.00007665185,0.0001842167],"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":[0.0001041602,0.0003179886,0.5551007,0.0001469645,0.0009609501,0.000887629,0.3508979,0.0002032545,0.01054747,0.03224407,0.03174015,0.01684876],"study_design_scores_gemma":[0.005144556,0.0002213231,0.01770165,0.0006468079,0.0002070216,0.003425388,0.04610365,0.0004417435,0.00130999,0.03118316,0.8926114,0.001003282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244933,0.06147723,0.002694402,0.002290421,0.001615179,0.00007161485,0.00001970283,0.00003028864,0.00730785],"genre_scores_gemma":[0.994796,0.001141159,0.0004647334,0.001640677,0.0007117518,0.000002430135,0.000004438132,0.00001453372,0.001224255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8608713,"threshold_uncertainty_score":0.7326624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011375586214008,"score_gpt":0.2570196873380188,"score_spread":0.2169059314758787,"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."}}