{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003418696,0.0007406281,0.0005395691,0.0007690573,0.0009225045,0.001313999,0.001107832,0.0005475007,0.003303141],"category_scores_gemma":[0.0008339619,0.0003918064,0.0007685925,0.001233353,0.0005733163,0.001094433,0.0008734455,0.0004510685,0.0003232478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001796675,"about_ca_system_score_gemma":0.0020882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0186732,"about_ca_topic_score_gemma":0.01474074,"domain_scores_codex":[0.9996075,0.00009516032,0.00002337849,0.0001130356,0.00005925816,0.0001017221],"domain_scores_gemma":[0.9997479,0.00007594822,0.00005003038,0.00001981458,0.00006983538,0.00003638028],"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":[0.00004614723,0.00001653452,0.001088001,0.00005807727,0.0000216816,0.0001063158,0.00006138729,0.9629051,0.001338656,0.01374682,0.0007558846,0.0198554],"study_design_scores_gemma":[0.000006443814,0.00002716326,0.0002520238,0.000005807261,0.00001261952,0.00002590431,0.00008926753,0.9929249,0.0005120594,0.004254979,0.001881018,0.000007746557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06444684,0.0002882642,0.9221585,0.0003241894,0.00005855684,0.0001669851,0.0002592257,0.0005331218,0.01176432],"genre_scores_gemma":[0.859102,0.0005098932,0.1321069,0.00004988443,0.0000266678,0.0002201069,0.0004160076,0.00006600368,0.007502648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0186732,"threshold_uncertainty_score":0.03712904,"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."}}