{"id":"W4249802611","doi":"10.1007/0-306-48213-4_16","title":"TSP Software","year":2006,"lang":"en","type":"book-chapter","venue":"Combinatorial optimization","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Fortran; Travelling salesman problem; Java; Software; Pascal (unit); Heuristic; Programming language; Theoretical computer science; Focus (optics); Source code; Mathematical optimization; Algorithm; Artificial intelligence; Mathematics","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":[0.000397065,0.001207832,0.0006698185,0.001586548,0.0007361104,0.001657598,0.001857225,0.0008367016,0.1124898],"category_scores_gemma":[0.001528205,0.0006548189,0.0009013725,0.002465976,0.0003529435,0.001752526,0.001177297,0.001459563,0.05466143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009083045,"about_ca_system_score_gemma":0.001306458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248854,"about_ca_topic_score_gemma":0.005473032,"domain_scores_codex":[0.9995071,0.00006693575,0.00002559844,0.00009321974,0.0002591772,0.00004796592],"domain_scores_gemma":[0.9994967,0.0001232383,0.00002238117,0.0001378675,0.0001878949,0.00003187309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004108296,0.0001125151,0.0002187958,0.0003533572,0.00003726177,0.00008856935,0.00007421037,0.03144864,0.002278883,0.1023968,0.4031732,0.4597767],"study_design_scores_gemma":[0.00003490623,0.00002719215,0.0002073132,0.0001060673,0.00002369926,0.0002095089,0.00002894183,0.1007946,0.003769754,0.07393397,0.8208385,0.0000255234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003195806,0.00110486,0.531707,0.0008326708,0.0004708764,0.0002529397,0.006454616,0.02414399,0.4318372],"genre_scores_gemma":[0.03857471,0.002694065,0.5038901,0.000818835,0.0002137632,0.0007099899,0.02192442,0.01096715,0.420207],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1124898,"threshold_uncertainty_score":0.376316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147176297218699,"score_gpt":0.2210551803163071,"score_spread":0.2095834173441201,"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."}}