{"id":"W3021888802","doi":"10.31235/osf.io/gursd","title":"How to survey citizens’ compliance with COVID-19 public health measures? Evidence from three survey experiments","year":2020,"lang":"en","type":"article","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; McGill University; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Compliance (psychology); Social distance; Context (archaeology); Preamble; Survey data collection; Public health; Coronavirus disease 2019 (COVID-19); Public relations; Distancing; Norm (philosophy); Psychology; Social psychology; Political science; Business; Public economics; Medicine; Economics; Infectious disease (medical specialty); Computer science; Nursing; Geography; Law; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1072553,0.0008601988,0.001114215,0.000563548,0.001099534,0.001835987,0.001544828,0.003674127,0.004601545],"category_scores_gemma":[0.1793777,0.0007607547,0.00204723,0.000982284,0.003002424,0.002701424,0.001505154,0.002557471,0.001147381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476863,"about_ca_system_score_gemma":0.001540744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003539823,"about_ca_topic_score_gemma":0.002891243,"domain_scores_codex":[0.8671425,0.1204525,0.003689024,0.003459815,0.004014349,0.001241904],"domain_scores_gemma":[0.5174037,0.3984072,0.04104002,0.03072347,0.009638845,0.002786789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.09342431,0.1704102,0.4280981,0.009675575,0.01116007,0.0003193755,0.022625,0.007985805,0.01267466,0.01062114,0.01381767,0.2191881],"study_design_scores_gemma":[0.02439852,0.2696258,0.5714712,0.002515443,0.007450343,0.00036642,0.01079828,0.02169945,0.0317262,0.02066428,0.03842549,0.0008585276],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788831,0.0004910756,0.008456262,0.002086278,0.0002729376,0.003071164,0.001051123,0.0000620878,0.005626025],"genre_scores_gemma":[0.9774994,0.0004562491,0.01206755,0.001860892,0.00009122128,0.005502851,0.0008616456,0.0000235296,0.001636522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072553,"threshold_uncertainty_score":0.567227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8903630743662646,"score_gpt":0.5184490634892799,"score_spread":0.3719140108769847,"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."}}