{"id":"W3092503313","doi":"10.3386/w26916","title":"Expectations, reference points, and compliance with COVID-19 social distancing measures","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Università di Bologna; Università Bocconi; University of Pittsburgh; University of Toronto; Johns Hopkins University","keywords":"Social distance; Coronavirus disease 2019 (COVID-19); Compliance (psychology); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Distancing; 2019-20 coronavirus outbreak; Business; Computer science; Social psychology; Psychology; Virology; Medicine; Outbreak","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005762664,0.0003313411,0.001104926,0.0009501707,0.0004075535,0.0001862796,0.0006259955,0.0003871531,0.000565825],"category_scores_gemma":[0.009094239,0.0003718415,0.0001336136,0.0003742083,0.0005327185,0.0002876198,0.0002221328,0.001008801,0.0003065483],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005122691,"about_ca_system_score_gemma":0.006046487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002998057,"about_ca_topic_score_gemma":0.0008603435,"domain_scores_codex":[0.9960461,0.0001419706,0.001441132,0.001122675,0.0007196729,0.0005284721],"domain_scores_gemma":[0.9955634,0.001600137,0.00120113,0.0003575068,0.0009100368,0.0003677354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002534203,0.00006894052,0.0228374,0.001013095,0.0003863383,0.00001071871,0.001432868,0.0001421703,0.00001400055,0.8689463,0.1043625,0.0005322615],"study_design_scores_gemma":[0.001789546,0.0002208425,0.01269008,0.0001850913,0.00002081395,0.00004588917,0.000692574,0.0008831749,0.00002133018,0.6508073,0.331786,0.0008574165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004855508,0.009228262,0.001989611,0.03011072,0.0005577053,0.002015633,0.004876266,0.0001087338,0.9462576],"genre_scores_gemma":[0.9941009,0.001182702,0.0006960214,0.0003787963,0.0006521703,0.000123966,0.0006322056,0.00007629021,0.002156976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9892454,"threshold_uncertainty_score":0.9998733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6667265833472591,"score_gpt":0.5223081570125271,"score_spread":0.144418426334732,"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."}}