{"id":"W4366994679","doi":"10.22214/ijraset.2023.50727","title":"AESTEX: An Innovative Smart Shopping System for Enhanced Customer Experience and Increased Sales","year":2023,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Magna International (Canada)","funders":"","keywords":"Purchasing; Barcode; Business; Payment; Product (mathematics); Queue; Clothing; Computer science; Marketing; Advertising; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002191054,0.00009575382,0.0001342117,0.00297179,0.0003654946,0.0003606471,0.0005239786,0.00005168921,8.558501e-7],"category_scores_gemma":[0.0006138981,0.00008989302,0.0000116231,0.002173515,0.00041152,0.0005094754,0.0003918139,0.0002344331,0.000005488749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515404,"about_ca_system_score_gemma":0.00006171572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002644659,"about_ca_topic_score_gemma":0.00002346963,"domain_scores_codex":[0.9986219,0.000002598618,0.0002116778,0.0002834747,0.0004564303,0.0004239621],"domain_scores_gemma":[0.9988505,0.00009707646,0.00005657856,0.00009139349,0.000881914,0.00002258944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000133641,0.0000377756,0.02827189,0.0001846357,0.00003350924,0.00003273255,0.0004400317,0.00007131511,0.6090215,0.2295583,0.00005768023,0.132157],"study_design_scores_gemma":[0.01414109,0.0004786696,0.2228788,0.002936097,0.00007089553,0.0005227359,0.07863495,0.4631815,0.06498158,0.01630839,0.1325757,0.003289582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971399,0.00002829655,0.001084738,0.0007190304,0.0003288666,0.000351051,0.000002549604,0.0001362566,0.0002092935],"genre_scores_gemma":[0.998642,0.00002081743,0.0008254893,0.000013987,0.00008426087,0.0003901084,0.000003126838,0.00001214964,0.00000802207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5440399,"threshold_uncertainty_score":0.3665731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0886710466761373,"score_gpt":0.3897493093490392,"score_spread":0.3010782626729019,"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."}}