{"id":"W4318822006","doi":"10.1016/j.ejor.2023.01.041","title":"Corrigendum to “Eliminate demand information disadvantage in a supplier encroachment supply chain with information acquisition” [European Journal of Operational Research 305 (2023) 659–673]","year":2023,"lang":"en","type":"erratum","venue":"European Journal of Operational Research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Dalhousie University","funders":"National Key Research and Development Program of China; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Disadvantage; Business; Supply chain; Operations research; Computer science; Industrial organization; Marketing; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003847862,0.003364505,0.003089984,0.004215023,0.00670494,0.0059536,0.004994155,0.01590661,0.06013738],"category_scores_gemma":[0.03472611,0.001818783,0.003145843,0.003868059,0.002655661,0.003335249,0.002715254,0.0122294,0.04287745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008406647,"about_ca_system_score_gemma":0.009246772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1679007,"about_ca_topic_score_gemma":0.1957294,"domain_scores_codex":[0.9934934,0.0007037646,0.0008728723,0.0009009832,0.00326155,0.0007674825],"domain_scores_gemma":[0.977922,0.003783064,0.0007624016,0.001066014,0.01584669,0.0006198175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001156091,0.000007585613,0.00003163576,0.0000350711,0.00000549485,0.00006613447,0.0000116756,0.0000327115,0.00002824656,0.0004482314,0.9976224,0.001699284],"study_design_scores_gemma":[0.00005156364,0.00004057062,0.002576187,0.0002424439,0.0000676601,0.0001225656,0.0001307453,0.0005835317,0.0003514059,0.002173198,0.9935704,0.00008979814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002427683,0.001375909,0.0007552071,0.09822392,0.8826008,0.00008160075,0.001550768,0.0004642016,0.01470485],"genre_scores_gemma":[0.00750528,0.005630611,0.003356692,0.2505151,0.1737322,0.0004164463,0.002617277,0.0008490451,0.5553773],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1679007,"threshold_uncertainty_score":0.3338469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05749762131611991,"score_gpt":0.2983961211276598,"score_spread":0.2408984998115399,"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."}}