{"id":"W4402173713","doi":"10.1287/ijoc.2024.ed.v36.n4.2","title":"Introduction to the Special Section on Software Tools for Vehicle Routing","year":2024,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Section (typography); Vehicle routing problem; Software; Computer science; Special section; Routing (electronic design automation); Operations research; Software engineering; Programming language; Engineering; Operating system; Computer network","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00176067,0.000168765,0.0001325994,0.0002351882,0.0007358341,0.002518032,0.000645526,0.00004308966,0.00001912315],"category_scores_gemma":[0.0002830341,0.0001133422,0.0001474773,0.0006124362,0.00001041277,0.0008448124,0.0002138576,0.0005098664,0.0001857582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004727364,"about_ca_system_score_gemma":0.00007299661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000212805,"about_ca_topic_score_gemma":0.000002804819,"domain_scores_codex":[0.9982929,0.00004357368,0.0004503652,0.0003258465,0.0004716883,0.0004155858],"domain_scores_gemma":[0.9988707,0.0004286543,0.000154558,0.0003424893,0.0001022052,0.000101368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002133685,0.000009995435,0.000007323481,0.00001123908,0.00002293262,0.000009875359,0.0004299483,0.2741542,0.000009467367,0.01357505,0.07896913,0.6327795],"study_design_scores_gemma":[0.0002049818,0.0005305495,0.000285782,0.0001837144,0.000007870603,0.00006567252,0.00007067656,0.4370317,0.000257396,0.0004447436,0.560753,0.0001639226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02622112,0.00002023692,0.9460703,0.008659444,0.01762534,0.000489267,9.851674e-7,0.0002470962,0.0006662309],"genre_scores_gemma":[0.7468169,0.00001317724,0.04390289,0.008011454,0.2005176,0.00003662812,0.000007120108,0.0000535438,0.0006406165],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9021674,"threshold_uncertainty_score":0.9985175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989729588696389,"score_gpt":0.2580089082659331,"score_spread":0.2381116123789692,"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."}}