{"id":"W1983758874","doi":"10.1007/s10479-011-0895-2","title":"The orienteering problem with stochastic travel and service times","year":2011,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Orienteering; Heuristics; Theory of computation; Computer science; Variety (cybernetics); Service (business); Mathematical optimization; Operations research; Stochastic programming; Mathematics; Marketing; Artificial intelligence; Algorithm; Business","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":[0.003424232,0.002118103,0.003477707,0.001400557,0.0007753529,0.003553169,0.003392875,0.003829828,0.00545666],"category_scores_gemma":[0.01052741,0.001974616,0.001848882,0.003065525,0.00263259,0.005607089,0.002117235,0.002786243,0.0004457191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002939046,"about_ca_system_score_gemma":0.002033649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.017742,"about_ca_topic_score_gemma":0.008087217,"domain_scores_codex":[0.9980018,0.0009889746,0.00008462412,0.0004146733,0.0002216185,0.0002883239],"domain_scores_gemma":[0.9957106,0.002985768,0.0005127412,0.0001815983,0.0002036016,0.0004057126],"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":[0.0002105357,0.0001113709,0.0009691207,0.0001652835,0.0001338158,0.0003026266,0.00009461267,0.798619,0.0005123051,0.1856818,0.002530708,0.01066875],"study_design_scores_gemma":[0.00005686886,0.00005543284,0.00036372,0.00001658312,0.00005048166,0.00007206696,0.00006492485,0.9073625,0.0001316144,0.09019136,0.001601232,0.00003321632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1617379,0.00306489,0.8142257,0.002510419,0.0003295398,0.0001532626,0.001005922,0.0001687074,0.01680359],"genre_scores_gemma":[0.8773285,0.003968256,0.08359415,0.0003184429,0.0004998866,0.000265648,0.001030921,0.0002325788,0.03276162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.017742,"threshold_uncertainty_score":0.03527749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1754939365175115,"score_gpt":0.3804113370696934,"score_spread":0.2049174005521819,"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."}}