{"id":"W4238481480","doi":"10.32920/ryerson.14664189","title":"Automatic generation of road network data from taxi GPS trajectories","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Global Positioning System; Taxis; Beijing; Transport engineering; Computer science; Field (mathematics); Data mining; Geography; Engineering; Telecommunications","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":[0.0002068283,0.001077968,0.0005100753,0.003628576,0.0003241558,0.0006294817,0.0007777888,0.0005085209,0.00226291],"category_scores_gemma":[0.001268789,0.0003894746,0.000620779,0.002961177,0.0001746317,0.0007220798,0.0007669309,0.0004145755,0.002250638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005204627,"about_ca_system_score_gemma":0.0008799143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008431842,"about_ca_topic_score_gemma":0.01803047,"domain_scores_codex":[0.9996455,0.00003262695,0.00001883162,0.0001478402,0.0001118294,0.00004344272],"domain_scores_gemma":[0.9996086,0.00007776632,0.00004796768,0.0001137711,0.0001330044,0.0000188892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003387354,0.0002726549,0.021417,0.0008591646,0.000240682,0.0008405204,0.0003146761,0.156631,0.0389667,0.005888573,0.05845727,0.715773],"study_design_scores_gemma":[0.00004233517,0.00008119052,0.02707769,0.0000863714,0.00008713537,0.0004094066,0.000459941,0.8665921,0.04382355,0.007074608,0.05420764,0.00005808875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1685815,0.0006998503,0.7102382,0.0002399572,0.0002107613,0.0007440076,0.09252854,0.01925515,0.007501982],"genre_scores_gemma":[0.3860973,0.0006035045,0.4519642,0.00003423928,0.00004594262,0.0004889044,0.1557878,0.0007093187,0.00426882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008431842,"threshold_uncertainty_score":0.01676553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0569027634516439,"score_gpt":0.2658423474591411,"score_spread":0.2089395840074972,"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."}}