{"id":"W4392971253","doi":"10.32920/25418197","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); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Economy; Geography; Economics; Medicine; Virology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00211834,0.0001555157,0.000175042,0.001128701,0.006412,0.006486389,0.0007416356,0.0007259204,0.003970446],"category_scores_gemma":[0.003516013,0.0001603726,0.0001768642,0.001415866,0.008399972,0.001834319,0.004880848,0.001126796,0.0002498197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006356486,"about_ca_system_score_gemma":0.007913833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1093042,"about_ca_topic_score_gemma":0.2660633,"domain_scores_codex":[0.9971576,0.001552888,0.00003487576,0.0001127217,0.0002387348,0.0009032426],"domain_scores_gemma":[0.997789,0.0006687577,0.0003125976,0.0001187281,0.0002221862,0.0008886827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002003248,0.0003786514,0.2014829,0.0002686218,0.0000388024,0.00252982,0.514421,0.0008796896,0.002217755,0.1388002,0.00777246,0.1310098],"study_design_scores_gemma":[0.000009313629,0.000133763,0.2140161,0.0002512643,0.00002348276,0.0004315482,0.6903205,0.0006053153,0.0003250148,0.006970768,0.08687913,0.0000338701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9278916,0.000590788,0.0009725447,0.003277343,0.0000208096,0.00004689293,0.00003722507,0.0000178541,0.06714502],"genre_scores_gemma":[0.996357,0.0002275142,0.00038864,0.00008059838,0.000003240732,0.00001145037,0.00001140792,0.000005787481,0.002914388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1093042,"threshold_uncertainty_score":0.2173359,"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."}}