{"id":"W4396600600","doi":"10.1016/j.trpro.2024.12.220","title":"Learning implicit multiple time windows in the Traveling Salesman Problem","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Travelling salesman problem; Computer science; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002734147,0.001209558,0.00222813,0.0009275105,0.0005571409,0.001325985,0.001976402,0.00207927,0.001787944],"category_scores_gemma":[0.009753,0.001030799,0.0009196079,0.001050095,0.0009776582,0.003089093,0.0009982046,0.002465849,0.0002488996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225418,"about_ca_system_score_gemma":0.001434597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007636134,"about_ca_topic_score_gemma":0.005135168,"domain_scores_codex":[0.9991258,0.0003528008,0.00005158226,0.0002891104,0.00008209394,0.00009871351],"domain_scores_gemma":[0.9956884,0.003499996,0.0004187896,0.0001011846,0.0001362282,0.0001554541],"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":[0.0001458773,0.000104822,0.001359756,0.00007830347,0.00006359255,0.00005472117,0.00009711069,0.9603299,0.0002481912,0.01055189,0.0005185268,0.02644722],"study_design_scores_gemma":[0.00001238119,0.00003131738,0.0001162072,0.000006617529,0.00000879275,0.000007682554,0.0000145456,0.992386,0.0000945463,0.007192951,0.0001238425,0.00000522695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.208126,0.001759902,0.7866992,0.0007389875,0.00008261962,0.0001061883,0.0001859608,0.0003192087,0.00198187],"genre_scores_gemma":[0.8767676,0.0007534433,0.1195583,0.0001560401,0.0001059637,0.0001601083,0.0003649618,0.00008289675,0.00205059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007636134,"threshold_uncertainty_score":0.01518339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531422629747824,"score_gpt":0.3491913571771389,"score_spread":0.3138771308796606,"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."}}