{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002574569,0.0003832747,0.0005226483,0.0002574884,0.00002534483,0.00002443823,0.0008814186,0.000231574,0.00009921389],"category_scores_gemma":[0.00001803834,0.0003992324,0.00007164157,0.00004111834,0.0000379477,0.0003046316,0.000244893,0.0003332545,0.0001569415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005459362,"about_ca_system_score_gemma":0.00003213836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004695438,"about_ca_topic_score_gemma":0.0000222469,"domain_scores_codex":[0.9983174,0.00001326639,0.000627446,0.0004266662,0.0003973905,0.0002177954],"domain_scores_gemma":[0.9975521,0.00002581979,0.0001565234,0.002121365,0.00003757127,0.0001066349],"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":[0.000003876072,0.0000138133,0.000001097364,0.0007031434,0.0001502241,0.00003507456,0.00001882454,0.00009410779,0.00002216,0.02061472,0.9328262,0.04551678],"study_design_scores_gemma":[0.0001395263,0.00002665293,0.00001508057,0.0006459538,0.0001087531,0.000007707021,0.0000070022,0.005481623,0.000005979609,0.00002153753,0.9931884,0.0003518209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002568697,0.004980513,0.007961623,0.00001257404,0.002157764,0.0006337232,0.005202876,0.003722441,0.9753259],"genre_scores_gemma":[0.02139593,0.07899991,0.00394876,0.00007209862,0.00428696,0.00009661668,0.03261537,0.0005515143,0.8580328],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1172931,"threshold_uncertainty_score":0.999846,"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."}}