{"id":"W4379280388","doi":"10.5267/j.uscm.2023.4.011","title":"Big data and sustainable supply chain management of hypermarkets in Jordan: An experimental study using structural equation modeling approach","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypermarket; Structural equation modeling; Sample (material); Supply chain management; Business; Big data; Population; Data collection; Dimension (graph theory); Supply chain; Environmental economics; Marketing; Computer science; Statistics; Data mining; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001603427,0.0002928847,0.0002857011,0.0006500207,0.0002928215,0.0001991527,0.001389322,0.00004494804,0.000009353681],"category_scores_gemma":[0.000007566347,0.0002912684,0.00002513986,0.001706096,0.00004887083,0.001102236,0.002973096,0.0001089109,0.000003225789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061236,"about_ca_system_score_gemma":0.00003676139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005020022,"about_ca_topic_score_gemma":0.00001740314,"domain_scores_codex":[0.9969624,0.0001813341,0.0005338906,0.0009611068,0.0007047639,0.000656489],"domain_scores_gemma":[0.9986055,0.00002676525,0.0001161399,0.001083763,0.00006980231,0.00009804439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001281174,0.00122821,0.0368719,0.001198144,0.0002513118,0.0004850783,0.01643399,0.8822169,0.0001966279,0.04457334,0.0001838692,0.01623253],"study_design_scores_gemma":[0.001137351,0.0001357564,0.006604288,0.00004926014,0.00002211082,0.000005458258,0.03002847,0.9604454,0.00004851514,0.001171174,0.00004138757,0.0003107999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343776,0.0001361885,0.06327421,0.0001575753,0.000181927,0.001478131,0.00001304773,0.000115103,0.0002662892],"genre_scores_gemma":[0.9774972,0.00006690453,0.02157339,0.00005555929,0.00006686098,0.0000781022,0.0002270781,0.00002991172,0.0004050332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07822855,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06591795328190218,"score_gpt":0.2876727490593179,"score_spread":0.2217547957774157,"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."}}