{"id":"W2398231527","doi":"10.1080/03155986.2006.11732749","title":"The Pickup And Delivery Problem With Time Windows And Transshipment","year":2006,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Simon Fraser University","funders":"","keywords":"Transshipment (information security); Pickup; Computer science; Service (business); Point (geometry); Operations research; Business; Transport engineering; Operations management; Engineering; Marketing; Computer security; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005261958,0.0009952765,0.001210324,0.001117071,0.001888269,0.002639466,0.002113409,0.002565491,0.0110403],"category_scores_gemma":[0.03598621,0.0009526378,0.001027461,0.002831513,0.002039184,0.00947801,0.002276226,0.002855681,0.0006985688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519241,"about_ca_system_score_gemma":0.001624625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009065403,"about_ca_topic_score_gemma":0.004400596,"domain_scores_codex":[0.9946173,0.002475354,0.0004741866,0.0007601176,0.0008132043,0.0008598746],"domain_scores_gemma":[0.9401584,0.04648222,0.007612403,0.002690061,0.00107221,0.001984607],"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":[0.003940961,0.001930665,0.05977181,0.001180584,0.0004933932,0.005554743,0.005760322,0.3793436,0.006367129,0.298862,0.01449751,0.2222974],"study_design_scores_gemma":[0.0006411144,0.001260889,0.01887558,0.000214699,0.0003080723,0.005194494,0.005986448,0.7796365,0.005887157,0.1503074,0.03144724,0.0002404041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7846605,0.002101521,0.1923165,0.002589379,0.0001415136,0.000363491,0.0006795538,0.000313684,0.01683377],"genre_scores_gemma":[0.9358649,0.001126495,0.05305994,0.00012508,0.0001230802,0.000197219,0.0006131627,0.000118017,0.00877213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0110403,"threshold_uncertainty_score":0.03693348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759764908911724,"score_gpt":0.2484557544751977,"score_spread":0.2308581053860805,"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."}}