{"id":"W1966520186","doi":"10.1061/9780784413159.168","title":"Planning of Dynamic Routing of Logistics in Urban Public Sports Facilities Based on MAS","year":2013,"lang":"en","type":"article","venue":"","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Urbanization; Transport engineering; Urban planning; Government (linguistics); Public transport; Geographic information system; Environmental planning; Environmental economics; Economic growth; Civil engineering; Geography; Engineering; 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":[0.0001822443,0.00009010881,0.0001620742,0.0005986193,0.00003827128,0.00003031016,0.0001480644,0.00007899715,0.000418536],"category_scores_gemma":[0.0001676836,0.00008143872,0.00002718762,0.0005623875,0.0001139051,0.0003226953,0.00005924489,0.0001208474,0.00001964462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001406269,"about_ca_system_score_gemma":0.00001332084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104634,"about_ca_topic_score_gemma":0.00008445069,"domain_scores_codex":[0.999237,0.000002887873,0.0003460799,0.0001162685,0.0001273722,0.0001704033],"domain_scores_gemma":[0.9994038,0.00005241789,0.0001951259,0.0001999044,0.0001458391,0.000002947961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003062876,0.00008805572,0.8184792,0.0001075278,0.000006307568,0.000002320197,0.00003409764,0.0002482848,0.0002155949,0.1779184,0.0009634829,0.00193368],"study_design_scores_gemma":[0.0009899846,0.00004011813,0.7026705,0.0003370183,0.00002401775,5.607915e-7,0.008949257,0.2679119,0.0003178574,0.01559377,0.002731786,0.0004332062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294969,0.000006860335,0.003563912,0.002103993,0.00005937204,0.0001476006,0.000002704576,0.00009486577,0.0645238],"genre_scores_gemma":[0.9985867,3.102758e-7,0.0005021944,0.0004859562,0.00001817857,0.000009689033,0.00003496408,0.00000769948,0.0003543464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2676636,"threshold_uncertainty_score":0.4582676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913259113249463,"score_gpt":0.2334966485449846,"score_spread":0.20436405741249,"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."}}