{"id":"W4239833652","doi":"10.1007/978-0-387-39940-9_3486","title":"Road Vector Data","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Vector (molecular biology); Computer science; Geography; Biology","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":[0.0002631206,0.0007430572,0.0004903004,0.002089757,0.0002652713,0.001518286,0.001066836,0.0004043545,0.07664387],"category_scores_gemma":[0.00134895,0.0003414396,0.0003842814,0.00384728,0.0001108589,0.001363377,0.0007501335,0.0005921806,0.09053014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223056,"about_ca_system_score_gemma":0.0006866464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007222711,"about_ca_topic_score_gemma":0.01192041,"domain_scores_codex":[0.9996849,0.000017015,0.000022089,0.00007055346,0.0001825369,0.00002286271],"domain_scores_gemma":[0.9995214,0.00005442362,0.00002243112,0.0001947344,0.0001853362,0.00002179754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005991626,0.00005268951,0.001263282,0.0002600514,0.0000280143,0.00004370823,0.00003439868,0.00410556,0.00204125,0.005833283,0.5729947,0.4132831],"study_design_scores_gemma":[0.00001511355,0.0000213494,0.002766491,0.00007188066,0.00001607333,0.0001452575,0.00005169131,0.01255091,0.004674758,0.006580778,0.9730762,0.00002941692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00687653,0.002713738,0.1342756,0.0007608042,0.0008651193,0.0003509879,0.6272077,0.04421582,0.1827338],"genre_scores_gemma":[0.03130978,0.00283946,0.05336272,0.0002399798,0.0001564828,0.0002587777,0.7944773,0.0015123,0.1158432],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07664387,"threshold_uncertainty_score":0.2563993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127312573155739,"score_gpt":0.228482735124946,"score_spread":0.2072096093933886,"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."}}