{"id":"W4210432476","doi":"10.5267/j.uscm.2021.12.012","title":"The antecedents of supply chain performance: Business analytics, business process orientation, and information systems support","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Analytics; Business; Process management; Business analytics; Reliability (semiconductor); Process (computing); Business process; Scale (ratio); Computer science; Marketing; Electronic business; Work in process; Data science; Business model","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001647676,0.0002479309,0.000182942,0.001964655,0.001038989,0.002752609,0.0003025563,0.0007180561,0.005050968],"category_scores_gemma":[0.01241743,0.0002139636,0.0003536036,0.002221582,0.001376162,0.001481349,0.001501533,0.001362447,0.0003533241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532748,"about_ca_system_score_gemma":0.003335225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01172797,"about_ca_topic_score_gemma":0.01011941,"domain_scores_codex":[0.9982857,0.0005469405,0.0001540975,0.0001242602,0.0005554587,0.0003334359],"domain_scores_gemma":[0.9739534,0.01224362,0.007184995,0.0006554115,0.002557492,0.003405032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008208031,0.0006262438,0.9797757,0.00008100083,0.00007351404,0.0002914688,0.002384102,0.0008239053,0.0003669111,0.003323186,0.0002889266,0.01188294],"study_design_scores_gemma":[0.000009779361,0.0001724212,0.9795105,0.0001765929,0.00007199268,0.0001693916,0.01147016,0.003453301,0.00055074,0.002258326,0.002135251,0.00002162627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927925,0.0002021447,0.0004533948,0.000801841,0.000008275316,0.00002823506,0.00006203985,0.000007505114,0.005644083],"genre_scores_gemma":[0.999292,0.0001569671,0.0002253026,0.00002768621,0.000005281204,0.000006626073,0.00004155669,0.000001387076,0.0002432095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01172797,"threshold_uncertainty_score":0.02331942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012274605084028,"score_gpt":0.2529223888253427,"score_spread":0.2327996427745025,"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."}}