{"id":"W4384524542","doi":"10.54097/fbem.v10i1.10237","title":"Research on the Impact of E-commerce on Offline Retail Industry","year":2023,"lang":"en","type":"article","venue":"Frontiers in Business Economics and Management","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Omnichannel; Online and offline; Retail industry; Analytics; Business; Key (lock); Marketing; E-commerce; Big data; Data science; Computer science; World Wide Web","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":[0.00147871,0.0002783792,0.0002661366,0.002881206,0.001959882,0.00941162,0.0006921188,0.001126311,0.01696114],"category_scores_gemma":[0.007587129,0.0002347297,0.0003301052,0.006607911,0.003422179,0.009513612,0.002001504,0.001499939,0.00164864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983898,"about_ca_system_score_gemma":0.001772289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005613751,"about_ca_topic_score_gemma":0.008318441,"domain_scores_codex":[0.9985341,0.0005577475,0.00007624998,0.0001733826,0.0004641575,0.0001943874],"domain_scores_gemma":[0.9791515,0.01446023,0.002152145,0.0007116364,0.002504918,0.001019593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002753425,0.0009981793,0.2776158,0.001683817,0.0001068513,0.002382108,0.06002298,0.0009204827,0.002171986,0.2349973,0.01122829,0.407597],"study_design_scores_gemma":[0.00002129458,0.0003519241,0.3995828,0.003884383,0.0001240604,0.002382097,0.2503882,0.001698553,0.002755057,0.02852922,0.3101685,0.0001139609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.542568,0.01187928,0.002162525,0.005342514,0.0002022996,0.0000606088,0.000179537,0.00003517047,0.4375701],"genre_scores_gemma":[0.9746182,0.01164778,0.0008665159,0.0009845546,0.0001962888,0.00002455891,0.0001184557,0.00003010732,0.0115136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01696114,"threshold_uncertainty_score":0.05674064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09836494787580267,"score_gpt":0.3176001478339684,"score_spread":0.2192351999581658,"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."}}