{"id":"W3127748140","doi":"10.1109/gol49479.2020.9314713","title":"Is Machine Learning Revolutionizing Supply Chain?","year":2020,"lang":"en","type":"article","venue":"","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Supply chain; Computer science; Context (archaeology); Automation; Supply chain management; Artificial intelligence; Machine learning; Business; Engineering; Marketing","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002943729,0.0001474912,0.0001644918,0.00009326235,0.0002849276,0.0002707397,0.000220388,0.00003836843,0.005814776],"category_scores_gemma":[0.0001222535,0.000138755,0.00008851839,0.0004488535,0.00002723484,0.0007466938,0.0003023727,0.0001911513,0.002970275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001549396,"about_ca_system_score_gemma":0.000005674689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008101251,"about_ca_topic_score_gemma":0.00005119405,"domain_scores_codex":[0.9989099,0.00001330331,0.0002392764,0.0003030691,0.0002585767,0.000275857],"domain_scores_gemma":[0.9996836,0.00001818083,0.00008715336,0.0001348537,0.00005571149,0.00002051154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001133683,0.0001426993,0.2077942,0.00116236,0.0001530114,0.00005445756,0.001187434,0.001256643,0.0005342251,0.4392972,0.3288497,0.01945463],"study_design_scores_gemma":[0.0003710106,0.00001115847,0.003050413,0.00001481272,0.00002873536,3.37224e-7,0.0005200439,0.1148545,0.00002866457,0.001124009,0.8797715,0.0002248559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06212849,0.0007304868,0.04657969,0.3443382,0.000569118,0.0009135405,0.000007747252,0.002095557,0.5426372],"genre_scores_gemma":[0.9419923,0.00002198778,0.0004267568,0.05217877,0.00101702,0.000008927824,0.00004647888,0.00002275717,0.004285019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8798638,"threshold_uncertainty_score":0.997806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376971859238583,"score_gpt":0.2322149715571591,"score_spread":0.1945177856333008,"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."}}