{"id":"W3093810628","doi":"10.1007/s10732-020-09460-y","title":"A reduced cost-based restriction and refinement matheuristic for stochastic network design problem","year":2020,"lang":"en","type":"article","venue":"Journal of Heuristics","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Transport Canada","funders":"","keywords":"Mathematical optimization; Computer science; Quality (philosophy); Variable (mathematics); Network planning and design; Computational complexity theory; Space (punctuation); Algorithm; Mathematics","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":[0.003218007,0.001190985,0.001728418,0.001326707,0.0006592378,0.001343997,0.002783876,0.001668095,0.006825044],"category_scores_gemma":[0.01064859,0.0006605425,0.001593263,0.001005476,0.0012864,0.002158242,0.002862433,0.003196207,0.0006912134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174562,"about_ca_system_score_gemma":0.001834508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004455582,"about_ca_topic_score_gemma":0.003366757,"domain_scores_codex":[0.9978975,0.001090773,0.00007667462,0.0002359509,0.0005485149,0.0001504889],"domain_scores_gemma":[0.9958638,0.002701224,0.0001887285,0.0005209539,0.0005485682,0.0001766489],"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":[0.0001539643,0.0001462703,0.0004090588,0.0002205616,0.00005981731,0.0001108313,0.00008842668,0.8322271,0.002882643,0.1141181,0.003982732,0.04560056],"study_design_scores_gemma":[0.00001583828,0.00003801679,0.000077764,0.00001181951,0.00001195042,0.00002186922,0.000006327564,0.9767989,0.0003618373,0.02162256,0.001026046,0.000007076108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00719287,0.0001014391,0.9856409,0.0002579534,0.00005372426,0.00009612202,0.0000894519,0.00009242872,0.006475244],"genre_scores_gemma":[0.3547631,0.0003763621,0.6334652,0.0003258747,0.0002172231,0.0005444431,0.0004894827,0.0002485052,0.009569773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006825044,"threshold_uncertainty_score":0.02283198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1738376244315473,"score_gpt":0.3683970957695745,"score_spread":0.1945594713380273,"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."}}