{"id":"W3024667978","doi":"10.1007/s00148-021-00848-z","title":"Stay-at-Home Orders, Social Distancing and Trust","year":2020,"lang":"en","type":"preprint","venue":"Journal of Population Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Social distance; Government (linguistics); Socioeconomic status; Phone; Coronavirus disease 2019 (COVID-19); Pandemic; Social trust; Distancing; Compliance (psychology); Business; Demographic economics; Public economics; Psychology; Political science; Medicine; Economics; Social psychology; Environmental health; Social capital","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007901961,0.0002884038,0.00108035,0.0004039084,0.0001558293,0.0001938532,0.0002907088,0.0003636953,0.0002146917],"category_scores_gemma":[0.0003023909,0.0003691958,0.0002988585,0.0000727716,0.0000474503,0.0003707282,0.000364744,0.0006828583,0.00004378975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161892,"about_ca_system_score_gemma":0.0001169001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002403464,"about_ca_topic_score_gemma":0.000107503,"domain_scores_codex":[0.9973634,0.00002621295,0.001890334,0.0004051774,0.00004464167,0.0002701989],"domain_scores_gemma":[0.9957312,0.00008630307,0.003705246,0.0002153695,0.00005537126,0.0002064746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003419823,0.0000778308,0.9039742,0.0005064168,0.0005748164,0.0000193309,0.003750871,0.01319808,0.00001360011,0.07024042,0.004391974,0.002910511],"study_design_scores_gemma":[0.002210015,0.0001153412,0.6170691,0.00007402766,0.00008824064,0.00004423686,0.0001751084,0.02142923,0.000006829697,0.3045271,0.05333902,0.0009217723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888599,0.0009494161,0.002552158,0.004704522,0.001729003,0.0001990062,0.0004267361,0.00002038809,0.0005589068],"genre_scores_gemma":[0.9962357,0.0005568157,0.001104588,0.0007202707,0.001111237,0.000002386279,0.00007848664,0.0000594156,0.0001310594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2869051,"threshold_uncertainty_score":0.999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0639527132786672,"score_gpt":0.2720996953415725,"score_spread":0.2081469820629053,"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."}}