{"id":"W4206439233","doi":"10.24251/hicss.2022.689","title":"The effect of COVID-19 on customer traffic: A case study of Food and Beverage stores in Erie County, New York","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; Business; Medicine","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","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.005526666,0.0005925884,0.000914258,0.001098465,0.001593822,0.0006611836,0.005583437,0.0001045416,0.00005045699],"category_scores_gemma":[0.0002869665,0.0003554323,0.0002898783,0.002012748,0.002015074,0.00138773,0.001969543,0.0005452631,0.000004658526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406379,"about_ca_system_score_gemma":0.0004230069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003094743,"about_ca_topic_score_gemma":0.0006286643,"domain_scores_codex":[0.9922569,0.00007855927,0.001584875,0.0010943,0.004441626,0.0005436976],"domain_scores_gemma":[0.9936094,0.0004893669,0.00318691,0.0002545094,0.00237143,0.0000883467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006049149,0.000275781,0.08541926,0.0004054189,0.0001442819,0.000006575843,0.004312169,0.0002867758,0.0001923639,0.9065498,0.0007927549,0.001009953],"study_design_scores_gemma":[0.001756963,0.001900679,0.004922338,0.001336228,0.0001070108,0.0002168215,0.9877065,0.000494319,0.0001299061,0.0002857324,0.0007038449,0.000439635],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.768922,0.00005115081,7.775725e-7,0.001824642,0.001447872,0.001344245,0.0002627799,0.00005012885,0.2260965],"genre_scores_gemma":[0.9991629,0.000009903481,0.00001161575,0.00005473926,0.0001323999,0.0002069353,0.000001605535,0.00002425996,0.0003956133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9833943,"threshold_uncertainty_score":0.9998898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05866163889450918,"score_gpt":0.3057189271910817,"score_spread":0.2470572882965725,"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."}}