{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005993653,0.00007218873,0.00006786213,0.0001118662,0.0004297346,0.0004911146,0.00003839213,0.00004125902,0.000006779154],"category_scores_gemma":[0.000006783232,0.00004813173,0.000006261575,0.0001583028,0.0001079282,0.0008952031,0.000006530138,0.0001189301,0.00001339055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002587329,"about_ca_system_score_gemma":0.00005672534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001712535,"about_ca_topic_score_gemma":0.0001032499,"domain_scores_codex":[0.9991293,0.00001588858,0.0003132645,0.00005430541,0.0003442303,0.000142991],"domain_scores_gemma":[0.9994428,0.0001090568,0.00001789559,0.00006497007,0.0003202185,0.00004508979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002291733,0.00004524054,0.01779693,0.00119987,0.0002055675,0.000002500775,0.008951565,0.1590981,0.001576434,0.7504053,0.02155383,0.03893549],"study_design_scores_gemma":[0.002095735,0.0001987661,0.1439188,0.0001353912,0.00001228888,0.00006673235,0.00297907,0.1579893,0.000255837,0.0002428299,0.6917391,0.000366037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592468,0.0007891668,0.00481593,0.001136171,0.00007062243,0.001937441,0.0001220699,0.000128711,0.03175311],"genre_scores_gemma":[0.9988491,0.000106132,0.0002339258,0.00003504345,0.00002755524,0.0001749801,0.0001124747,0.000004637187,0.0004561374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7501624,"threshold_uncertainty_score":0.4735829,"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."}}