{"id":"W4395096532","doi":"10.2139/ssrn.4790752","title":"Fast-food stores with a drive-through recovered post-pandemic; Stores without did not","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Pandemic; Business; Coronavirus disease 2019 (COVID-19); Food science; Biology; Medicine; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008524452,0.0002808465,0.0004832632,0.001214222,0.001160417,0.002708181,0.001057531,0.001701533,0.04984576],"category_scores_gemma":[0.006618697,0.0002965457,0.0005206473,0.001860997,0.00081305,0.002763934,0.002054437,0.002832041,0.003201543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249459,"about_ca_system_score_gemma":0.00220396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04188279,"about_ca_topic_score_gemma":0.07463089,"domain_scores_codex":[0.9990108,0.0001581476,0.00005453066,0.0001677538,0.0001570833,0.0004516288],"domain_scores_gemma":[0.994516,0.001023099,0.00179559,0.0003066528,0.0008389511,0.001519677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00699566,0.001680724,0.6346913,0.001324129,0.001039149,0.002021158,0.002336337,0.004317197,0.0009442529,0.04990218,0.1831806,0.1115673],"study_design_scores_gemma":[0.0007138158,0.001883786,0.7584872,0.001101739,0.001159783,0.001417495,0.04458779,0.008764419,0.002030172,0.02650075,0.1531661,0.0001868447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8126757,0.003102706,0.001509565,0.02938878,0.001165614,0.0002904682,0.0359949,0.0002365374,0.1156356],"genre_scores_gemma":[0.945936,0.000815795,0.000335262,0.00207972,0.0001982505,0.00006987056,0.006377987,0.00005709368,0.04413013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04984576,"threshold_uncertainty_score":0.1667507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445963933285724,"score_gpt":0.253059090555699,"score_spread":0.2285994512228417,"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."}}