{"id":"W4392970425","doi":"10.32920/25418197.v1","title":"Business Improvement Areas and the Role of the Visitor Economy in the Survival, Recovery, and Progression of Main Streets in the Context of COVID-19","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Visitor pattern; Coronavirus disease 2019 (COVID-19); Context (archaeology); Business; Survival of the fittest; 2019-20 coronavirus outbreak; Economy; Geography; Economics; Medicine; Computer science; Virology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003663182,0.0002375627,0.0004040893,0.0001479216,0.00007908604,0.0002153218,0.0007477425,0.0001055401,0.00002875083],"category_scores_gemma":[0.0003615009,0.0001007109,0.00009922894,0.0003335187,0.0003944154,0.0001150535,0.001688004,0.0003596415,4.68865e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002787717,"about_ca_system_score_gemma":0.0001435976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533365,"about_ca_topic_score_gemma":0.005300572,"domain_scores_codex":[0.9984049,0.0001853701,0.0006196298,0.0003405878,0.0002808534,0.0001686539],"domain_scores_gemma":[0.9980481,0.0006517245,0.0005685324,0.0006014333,0.0001223358,0.000007823685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001080878,0.0004573233,0.7484559,0.007237485,0.000140143,0.000009153921,0.003760966,0.00007362045,0.0007755886,0.024643,0.001077885,0.2122881],"study_design_scores_gemma":[0.004563286,0.00004641799,0.8767188,0.003159345,0.0007496822,0.000007140424,0.03781819,0.002396001,0.0003591092,0.05222073,0.02125075,0.0007105701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864863,0.001206318,0.000005060803,0.004892521,0.0002680057,0.001898789,0.00002919298,0.0000104749,0.00520338],"genre_scores_gemma":[0.9989687,0.0001285365,0.00000784204,0.0006063986,0.00007364833,0.0001587147,0.000008584929,0.00001274575,0.00003483128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2115775,"threshold_uncertainty_score":0.9912233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271702716216843,"score_gpt":0.2578408577120778,"score_spread":0.2451238305499094,"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."}}