{"id":"W4413554752","doi":"10.64628/aam.66cr7qsfn","title":"We are all niqabis now: Coronavirus masks reveal hypocrisy of face covering bans","year":2020,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hypocrisy; Face masks; Coronavirus disease 2019 (COVID-19); Face (sociological concept); Coronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Political science; Medicine; Law; Sociology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004855967,0.0005220707,0.001493597,0.0003366572,0.00004687647,0.00009994914,0.0009252114,0.0005776708,0.001399559],"category_scores_gemma":[0.0005339907,0.0006525229,0.0004442314,0.0002304522,0.00007982005,0.0001575214,0.00144586,0.0009955382,0.001056666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005685547,"about_ca_system_score_gemma":0.0001562371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002746076,"about_ca_topic_score_gemma":0.0002125684,"domain_scores_codex":[0.9967008,0.00002995679,0.001442475,0.00114472,0.0001113659,0.0005707435],"domain_scores_gemma":[0.9969178,0.0001970331,0.001456861,0.001093691,0.00004893945,0.0002856068],"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":[0.0005324671,0.000721837,0.6454214,0.009224592,0.00319916,0.0002390863,0.01501903,0.02851944,0.001984361,0.03397088,0.2544676,0.006700194],"study_design_scores_gemma":[0.002664668,0.0002595134,0.06663293,0.0008246443,0.000172981,0.00001989903,0.0007687019,0.01453936,0.002761758,0.08100423,0.8271064,0.003244889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.628017,0.02178517,0.1067695,0.05229065,0.007366086,0.004072248,0.01289226,0.0009831785,0.1658239],"genre_scores_gemma":[0.9866781,0.002376133,0.001603565,0.002642083,0.0002163854,0.00003937857,0.00008206943,0.0001026948,0.006259614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5787885,"threshold_uncertainty_score":0.9997211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1533323965176552,"score_gpt":0.3059031531595477,"score_spread":0.1525707566418926,"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."}}