{"id":"W4385976097","doi":"10.5267/j.uscm.2023.6.013","title":"The influence of the human-machine interface on operational performance through supply chain agility","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Interface (matter); Computer science; Path (computing); Work (physics); Agile software development; Supply chain management; Production (economics); Function (biology); Operations management; Business; Operating system; Marketing; Engineering; Mechanical engineering","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":[0.002555187,0.0003710224,0.0001676448,0.001127109,0.0004559633,0.002390402,0.0003093483,0.0004135589,0.003129608],"category_scores_gemma":[0.01679428,0.0001394873,0.0003069662,0.001047385,0.0009447316,0.001321185,0.00136037,0.0008025174,0.0003996847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008804448,"about_ca_system_score_gemma":0.001076562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004257319,"about_ca_topic_score_gemma":0.00336996,"domain_scores_codex":[0.9958454,0.001936001,0.000221584,0.0002933625,0.0009992886,0.0007042503],"domain_scores_gemma":[0.9627897,0.02071282,0.008564321,0.001247515,0.003785773,0.00289993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002431904,0.0005297148,0.955714,0.00004475532,0.0001606646,0.0002150879,0.002320074,0.00608978,0.001978026,0.000925853,0.0002405773,0.03153818],"study_design_scores_gemma":[0.000007495317,0.0004996664,0.9835086,0.00004120641,0.00005776975,0.00007906858,0.003150183,0.01024871,0.00104844,0.0006911328,0.0006441126,0.00002356032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949437,0.00005245624,0.001163025,0.0001171355,0.000003693087,0.00001533942,0.00002076562,0.00001638028,0.003667551],"genre_scores_gemma":[0.9996394,0.00001766819,0.0001891705,0.000007907001,0.000001801883,0.00000308471,0.00001129589,0.000002043892,0.0001276271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004257319,"threshold_uncertainty_score":0.01351333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296051525971861,"score_gpt":0.2714890844585947,"score_spread":0.248528569198876,"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."}}