{"id":"W2150318828","doi":"10.1287/trsc.37.1.23.12818","title":"Outsourcing Logistics: Designing Transportation Contracts Between a Manufacturer and a Transporter","year":2003,"lang":"en","type":"article","venue":"Transportation Science","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bidding; Consignment; Outsourcing; Order (exchange); Process (computing); Operations research; Computer science; Production (economics); Supply chain; Exploit; Business; Engineering; Microeconomics; Economics; Marketing","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":[0.009743789,0.001312078,0.001197204,0.0006898278,0.001949309,0.002818103,0.002260621,0.002319856,0.005179806],"category_scores_gemma":[0.01422251,0.001309046,0.0009013381,0.002033863,0.001943895,0.007380183,0.003468931,0.00149519,0.0008239151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891286,"about_ca_system_score_gemma":0.007196189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003381027,"about_ca_topic_score_gemma":0.002066011,"domain_scores_codex":[0.9931595,0.004415102,0.0003232489,0.0005266606,0.0008713483,0.0007041174],"domain_scores_gemma":[0.9940368,0.002813946,0.0008694103,0.0007241684,0.0008017736,0.0007538768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004497746,0.0002917381,0.003555439,0.0003778506,0.00006724448,0.0006946949,0.001263322,0.651705,0.004635692,0.2591706,0.002523018,0.07526565],"study_design_scores_gemma":[0.0001937634,0.0004821573,0.0006520746,0.0001202765,0.00006808661,0.0003659417,0.001592944,0.8711576,0.00566502,0.1030032,0.01663793,0.00006102574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05824637,0.0001782805,0.9324199,0.0008051037,0.00003127027,0.0006922827,0.00008865026,0.0001240093,0.007414127],"genre_scores_gemma":[0.4706475,0.0006322265,0.5223281,0.0001619786,0.00004059342,0.001077279,0.0001915765,0.000122305,0.00479834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009743789,"threshold_uncertainty_score":0.05153072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152668771909263,"score_gpt":0.2298887441797401,"score_spread":0.2146218669888138,"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."}}