{"id":"W2100997713","doi":"10.71781/10768","title":"Parallel metaheuristics for stochastic capacitated multicommodity network design","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport","keywords":"Tabu search; Metaheuristic; Mathematical optimization; Computer science; Maintainability; Software; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001418654,0.001215531,0.001253371,0.0008942718,0.000635203,0.0009806901,0.001419547,0.001198049,0.003035061],"category_scores_gemma":[0.003125673,0.0006849803,0.001020506,0.001292645,0.0006841635,0.000862616,0.0009038041,0.001508333,0.0003247948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498218,"about_ca_system_score_gemma":0.002160311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274608,"about_ca_topic_score_gemma":0.01259991,"domain_scores_codex":[0.9995591,0.0001826802,0.00002160869,0.00005844973,0.0001091816,0.00006906919],"domain_scores_gemma":[0.9986883,0.0009058097,0.00009893694,0.00006680735,0.000187133,0.00005300483],"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":[0.00003614675,0.000028351,0.00008994304,0.00002963976,0.00002987286,0.00001002368,0.00001380985,0.97853,0.0002135468,0.004708918,0.0006179526,0.01569176],"study_design_scores_gemma":[0.00002114955,0.000014043,0.00002872066,0.000004364931,0.000006035094,0.000002690485,0.000004263659,0.9955671,0.0001301662,0.003836379,0.000383408,0.000001647051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02665099,0.0009901747,0.9610518,0.0005048297,0.0001534128,0.0001342184,0.0001495024,0.0003599209,0.01000514],"genre_scores_gemma":[0.4418693,0.0008708859,0.548035,0.000251205,0.0001814232,0.0006269141,0.0002519965,0.0002511669,0.007662053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01274608,"threshold_uncertainty_score":0.02534384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128619490951504,"score_gpt":0.3611509313362324,"score_spread":0.248288982241082,"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."}}