{"id":"W2914448801","doi":"","title":"Proceedings of the 14th international conference on Integer Programming and Combinatorial Optimization","year":2010,"lang":"en","type":"article","venue":"Integer Programming and Combinatorial Optimization","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Integer programming; Computer science; Combinatorial optimization; Integer (computer science); Mathematical optimization; Theoretical computer science; Mathematics; Programming language; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006897151,0.0003595193,0.0003479162,0.0002044675,0.000230267,0.0004435017,0.0003690941,0.0003474409,0.00003768714],"category_scores_gemma":[0.0003710975,0.0003125401,0.00008102531,0.0005207331,0.0002645772,0.0004389285,0.000154954,0.0007176541,9.618414e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006955798,"about_ca_system_score_gemma":0.0000489035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001932074,"about_ca_topic_score_gemma":0.000001285466,"domain_scores_codex":[0.9980956,0.00005520147,0.0005968977,0.0004336391,0.000474519,0.0003441285],"domain_scores_gemma":[0.9985021,0.0001042904,0.0002774284,0.0002156559,0.000763978,0.0001365717],"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":[0.000287052,0.000496652,0.005528226,0.0002796578,0.0002262958,0.000001855853,0.002581203,0.6303706,0.002158313,0.3052633,0.0002169541,0.05258993],"study_design_scores_gemma":[0.001844288,0.0002393039,0.00008565789,0.0002096727,0.00006941368,0.00001941923,0.0004047077,0.9909027,0.002682717,0.001629856,0.001466933,0.0004453449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2491215,0.0001855948,0.6711814,0.002001884,0.05360679,0.005072791,0.00003875739,0.002597201,0.01619403],"genre_scores_gemma":[0.8639755,0.00006125807,0.1352987,0.00002370442,0.0003969654,0.00009860334,0.00002653676,0.00007547865,0.00004326951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6148539,"threshold_uncertainty_score":0.9999326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127464220673921,"score_gpt":0.2481053551520198,"score_spread":0.2368307129452806,"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."}}