{"id":"W2897824369","doi":"10.1016/j.dam.2018.08.026","title":"A comparison of integer programming models for the partial directed weighted improper coloring problem","year":2018,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"","keywords":"Mathematics; Combinatorics; Knapsack problem; Vertex (graph theory); Integer programming; Integer (computer science); Upper and lower bounds; Discrete mathematics; Function (biology); Graph; Mathematical optimization; Computer science","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":[0.005158706,0.001328825,0.001448454,0.001388136,0.0005366977,0.002947765,0.002633387,0.001243437,0.006161392],"category_scores_gemma":[0.01076781,0.0006666937,0.001694791,0.002350052,0.0007835448,0.004062575,0.001254797,0.002255456,0.0004589107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084771,"about_ca_system_score_gemma":0.003499296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005270641,"about_ca_topic_score_gemma":0.006288826,"domain_scores_codex":[0.9974178,0.001583953,0.00007563007,0.0002129292,0.0004632064,0.0002464666],"domain_scores_gemma":[0.9917291,0.006313505,0.0004258473,0.0005397457,0.0006808458,0.0003109309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003380936,0.000316659,0.0006464169,0.0002357017,0.00008351701,0.00003058489,0.00008628875,0.8343415,0.0004390986,0.115714,0.003367564,0.04440071],"study_design_scores_gemma":[0.00001651484,0.00006412573,0.0001147875,0.00002393632,0.0000217275,0.00001095716,0.00003420531,0.9779407,0.0001251317,0.02073044,0.0009094573,0.000008055831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07233161,0.001994472,0.8964925,0.001168391,0.0003944435,0.0002047177,0.0004518144,0.000366395,0.02659562],"genre_scores_gemma":[0.6174091,0.003911428,0.3641817,0.0006168372,0.0002710317,0.0004690992,0.0009471,0.0005917905,0.01160193],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006161392,"threshold_uncertainty_score":0.02728218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151401789022738,"score_gpt":0.3128970548482409,"score_spread":0.2713830369580136,"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."}}