{"id":"W2093542108","doi":"10.1111/j.1745-493x.2006.00021.x","title":"Optimization Modeling in Acquisitions: A Case Study from the Motor Carrier Industry","year":2006,"lang":"en","type":"article","venue":"Journal of Supply Chain Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Motor carrier; Business; Conceptual model; Asset (computer security); Transportation planning; Computer science; Transport engineering; Engineering; Truck","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001414174,0.0002753838,0.000317123,0.0007063455,0.0002517235,0.0004683899,0.0005163876,0.0000994142,0.0005693389],"category_scores_gemma":[0.00003019391,0.0002126152,0.0001537696,0.0007480334,0.00003790408,0.001130798,0.0003264081,0.0004581562,0.00001589542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969052,"about_ca_system_score_gemma":0.00001642448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005190859,"about_ca_topic_score_gemma":0.0006314535,"domain_scores_codex":[0.9976219,0.00007320922,0.0009887262,0.0002981018,0.0006668588,0.0003512099],"domain_scores_gemma":[0.9988424,0.00005431697,0.0005102642,0.0003902887,0.0001801053,0.00002263102],"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":[0.0001212003,0.001029718,0.05650597,0.00006877242,0.0002367471,0.006817305,0.0004779795,0.9182772,0.00000685583,0.002348719,0.01210161,0.002007904],"study_design_scores_gemma":[0.005593414,0.0001009528,0.009340066,0.000321933,0.0005753291,0.000103909,0.09134416,0.8738579,0.000001960113,0.003947061,0.01420484,0.0006084711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765449,0.0003489276,0.01314933,0.003042069,0.0008931455,0.00143561,0.000009253446,0.00004830995,0.0045285],"genre_scores_gemma":[0.9946102,0.00002367594,0.0009153876,0.001881087,0.002078936,0.00006394454,0.0000205919,0.00003912702,0.0003670153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09086619,"threshold_uncertainty_score":0.8670194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455067274285432,"score_gpt":0.231948570842992,"score_spread":0.2073978981001377,"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."}}