{"id":"W2171349556","doi":"10.1504/ijstl.2010.033508","title":"An airfreight forwarder's shipment planning: simultaneous decisions on job, route and agent selection","year":2010,"lang":"en","type":"article","venue":"International Journal of Shipping and Transport Logistics","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Profit (economics); Variety (cybernetics); Computer science; Plan (archaeology); Forwarder; Operations research; Business; Destinations; Function (biology); Operations management; Microeconomics; Tourism; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004054196,0.0001309626,0.0001593758,0.0001908464,0.00007374451,0.00006796997,0.0001542469,0.00009572945,0.00001346605],"category_scores_gemma":[0.0002046033,0.0001206848,0.00004108266,0.00005072033,0.00004541966,0.0001166356,0.000005792951,0.0004383051,6.381093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004412949,"about_ca_system_score_gemma":0.00002746174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005529528,"about_ca_topic_score_gemma":0.00002032648,"domain_scores_codex":[0.9990158,0.0000220121,0.0003967351,0.0001178887,0.0003188886,0.0001286778],"domain_scores_gemma":[0.9991332,0.0003141171,0.0001069957,0.00006759326,0.0002320542,0.0001460124],"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":[0.00006696949,0.00004602721,0.02949888,0.000008700621,0.0001175922,0.000193968,0.0005293174,0.948164,0.001467428,0.0006751081,0.00001220667,0.01921983],"study_design_scores_gemma":[0.001273888,0.0003610157,0.0832635,0.0002859226,0.0001246947,0.000710355,0.0001662704,0.9064267,0.001399758,0.001813236,0.003798991,0.0003756942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5212843,0.00005841397,0.4774238,0.00009823568,0.0008102489,0.00003564893,0.0000129041,0.00004185091,0.0002346775],"genre_scores_gemma":[0.9410879,0.0001909706,0.05833787,0.00006409232,0.000275537,8.67583e-7,0.000009204518,0.00002012251,0.00001339976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4198036,"threshold_uncertainty_score":0.4921384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713762668147851,"score_gpt":0.3018340462913174,"score_spread":0.2746964196098389,"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."}}