{"id":"W4416196368","doi":"10.1111/iere.70036","title":"Consumer Mobility, Offline and Online Regional Trade: Evidence From High‐Frequency Transaction Data","year":2025,"lang":"en","type":"article","venue":"International Economic Review","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; McGill University","funders":"Télécom Paris; Fondation du Risque","keywords":"Purchasing; Sample (material); Online and offline; Database transaction; Scale (ratio); Transaction data; E-commerce","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":[0.001449123,0.0001925019,0.0003132823,0.001977052,0.0002970474,0.001228674,0.0003608476,0.0003706902,0.004579234],"category_scores_gemma":[0.0076793,0.0001487424,0.0003846874,0.004740469,0.0005259941,0.001037472,0.0007141376,0.0004021217,0.0009961507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222958,"about_ca_system_score_gemma":0.0002126853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02891393,"about_ca_topic_score_gemma":0.02320839,"domain_scores_codex":[0.999082,0.0004683531,0.00005218189,0.000156101,0.0001512588,0.00009009182],"domain_scores_gemma":[0.9882388,0.00492338,0.004418857,0.0009738536,0.00107347,0.0003715999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001680393,0.00006319902,0.9817822,0.0000762101,0.000306968,0.0001381563,0.0005561124,0.001809321,0.0001649177,0.001253433,0.002125409,0.01155595],"study_design_scores_gemma":[0.0000133592,0.00007178491,0.9896885,0.00004491756,0.0001143654,0.0001452555,0.001879056,0.003765727,0.0001404431,0.0006246683,0.003493459,0.00001830395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941949,0.0007485184,0.0007402549,0.0002079535,0.000006954388,0.00000674683,0.001759683,0.00001298762,0.002322026],"genre_scores_gemma":[0.9976833,0.0003603829,0.000170499,0.00002138222,0.00001608506,0.000003826177,0.001370347,0.000004796255,0.000369399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02891393,"threshold_uncertainty_score":0.05749124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08848898899360277,"score_gpt":0.3318095207198856,"score_spread":0.2433205317262828,"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."}}