{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01846929,0.0004710495,0.0006565494,0.004050641,0.0004576711,0.00100326,0.001276922,0.0001520417,0.0006244936],"category_scores_gemma":[0.0007086408,0.0003900793,0.0001765363,0.001637519,0.0002994047,0.00254754,0.0002056214,0.004487918,0.0008221751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009533768,"about_ca_system_score_gemma":0.001345184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001843873,"about_ca_topic_score_gemma":0.0000420467,"domain_scores_codex":[0.989236,0.00191541,0.002785627,0.0002478184,0.00487767,0.0009375078],"domain_scores_gemma":[0.9934471,0.0002721347,0.0004170868,0.0003844585,0.004904243,0.0005749679],"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":[0.0007723308,0.000147068,0.0003426624,0.0003943147,0.0002312796,0.001541298,0.004299883,0.07398777,0.0002758364,0.002007964,0.9136057,0.002393917],"study_design_scores_gemma":[0.004340074,0.003699996,0.04998801,0.002520399,0.00007181214,0.0007184691,0.002694181,0.01434713,0.0002419851,0.0001053927,0.9203255,0.0009471085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07491169,0.005991982,0.2791025,0.01683939,0.06666948,0.01022889,0.007673793,0.0004045974,0.5381777],"genre_scores_gemma":[0.9291242,0.005583083,0.009612165,0.0006815383,0.008552808,0.00006561075,0.006456482,0.0004809479,0.03944314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8542125,"threshold_uncertainty_score":0.9999558,"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."}}