{"id":"W4285166084","doi":"10.5267/j.uscm.2022.5.002","title":"The mediating role of supply chain management on the relationship between big data and supply chain performance using SCOR model","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Supply chain management; Big data; Business; Service management; Demand chain; Structural equation modeling; Value chain; Process management; Operations management; Computer science; Marketing; Economics; Data mining","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","sts"],"consensus_categories":[],"category_scores_codex":[0.004644251,0.0005758788,0.0004543811,0.0006591633,0.002760376,0.0005301499,0.003075752,0.00008575905,0.0001682193],"category_scores_gemma":[0.0002241109,0.0004275357,0.0001080966,0.001645871,0.0003406202,0.0008194012,0.00537342,0.0006093066,0.00004145928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964069,"about_ca_system_score_gemma":0.00004465349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000495723,"about_ca_topic_score_gemma":0.00009134709,"domain_scores_codex":[0.9952551,0.0001656907,0.001001998,0.001098301,0.001534769,0.0009442098],"domain_scores_gemma":[0.9960617,0.0008264363,0.0007384532,0.002211185,0.00011516,0.00004700975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003622248,0.0003652645,0.4166481,0.001760548,0.0005502087,0.00004056593,0.001113084,0.1027797,0.00007868262,0.2563198,0.01189584,0.208086],"study_design_scores_gemma":[0.0008778145,0.00005309247,0.04274169,0.0003689205,0.0003868737,0.000004316142,0.00981656,0.8601028,0.00004066211,0.01042205,0.0743598,0.0008253646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481992,0.001231609,0.009407202,0.01884949,0.001689496,0.006194009,0.0009625541,0.0003467304,0.01311976],"genre_scores_gemma":[0.9937338,0.0003103383,0.0008925939,0.001344052,0.0007832751,0.000364466,0.001178995,0.0000905622,0.001301953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7573231,"threshold_uncertainty_score":0.9998177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218820967492798,"score_gpt":0.2862867509011308,"score_spread":0.1644046541518509,"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."}}