{"id":"W2078151974","doi":"10.1016/j.compind.2009.02.006","title":"Distributed search for supply chain coordination","year":2009,"lang":"en","type":"article","venue":"Computers in Industry","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Heuristics; Supply chain; Computer science; Tree (set theory); Mathematical optimization; Quality (philosophy); Process (computing); Computation; Search tree; Key (lock); Industrial engineering; Search algorithm; Engineering; Algorithm; Mathematics","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":[0.002084301,0.0006949161,0.002514998,0.001869853,0.002073433,0.002415921,0.001933642,0.002382915,0.01051695],"category_scores_gemma":[0.01456729,0.0009193632,0.0007859834,0.003656761,0.001854829,0.005656662,0.0030597,0.001534195,0.0008193646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094149,"about_ca_system_score_gemma":0.002683226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007818899,"about_ca_topic_score_gemma":0.0063131,"domain_scores_codex":[0.998571,0.0005476595,0.0000750719,0.0003343229,0.0002594867,0.0002123242],"domain_scores_gemma":[0.9918404,0.006101272,0.0002704697,0.001004586,0.0005021813,0.0002811411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001601291,0.0003485967,0.001601028,0.0002499462,0.0001156855,0.000158665,0.0004023779,0.7310861,0.002001228,0.1349055,0.008209135,0.1193204],"study_design_scores_gemma":[0.0001261804,0.00003078598,0.0001475488,0.000008049023,0.00001917379,0.00002295511,0.0000575935,0.9101245,0.0003859838,0.08830054,0.0007689446,0.000007727061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.141483,0.001306046,0.836238,0.001466102,0.0001939668,0.0001988617,0.0003141251,0.001337933,0.01746191],"genre_scores_gemma":[0.8961687,0.0003134867,0.09351622,0.0001157214,0.00009833976,0.0001407429,0.000244292,0.0001254244,0.00927707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01051695,"threshold_uncertainty_score":0.03518265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105888814480912,"score_gpt":0.2569298925371706,"score_spread":0.2258710043923615,"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."}}