{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005905708,0.0006573704,0.0006932387,0.001678647,0.001234374,0.007093607,0.001626963,0.004243112,0.005919139],"category_scores_gemma":[0.01752168,0.0003465211,0.0006978479,0.003206029,0.006989397,0.02273059,0.002065151,0.004637582,0.002442638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003246425,"about_ca_system_score_gemma":0.003181404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003921859,"about_ca_topic_score_gemma":0.002369301,"domain_scores_codex":[0.9962432,0.001850375,0.0001219624,0.0005152874,0.0008407104,0.0004284095],"domain_scores_gemma":[0.9856504,0.009646127,0.0007432401,0.001792657,0.001597302,0.0005702969],"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":[0.0001018579,0.0001538216,0.00458167,0.0005011296,0.00008395443,0.0001715585,0.0005635219,0.01755279,0.000353836,0.6930058,0.02638956,0.2565405],"study_design_scores_gemma":[0.00001881354,0.00005574421,0.0009622652,0.0004221404,0.00001564057,0.00009468485,0.000595741,0.02507649,0.0005907104,0.8968149,0.07531726,0.00003554629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04041069,0.06557845,0.2259861,0.5372776,0.003584085,0.00009011659,0.0005518774,0.001326839,0.1251943],"genre_scores_gemma":[0.7563069,0.08003424,0.1109189,0.02394897,0.009107077,0.0001493535,0.0004436049,0.0002976891,0.01879324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007093607,"threshold_uncertainty_score":0.03123271,"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."}}