{"id":"W4251694476","doi":"10.32920/ryerson.14664531","title":"Automatic generation of road network data from smartphone GPS trajectories","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Global Positioning System; Computer science; Road map; Mobile mapping; Data mining; Real-time computing; Geography; Cartography; 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":[0.0001356414,0.0007884725,0.0003987485,0.002844274,0.0002368196,0.000538142,0.0006093854,0.0003678107,0.002296912],"category_scores_gemma":[0.001216571,0.0003028276,0.0005343352,0.001837858,0.0001112284,0.0007143166,0.0007621218,0.0003395555,0.00241736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003446723,"about_ca_system_score_gemma":0.0005207708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006578319,"about_ca_topic_score_gemma":0.01667232,"domain_scores_codex":[0.9997066,0.00002327003,0.00001695647,0.000105242,0.0001197757,0.00002824064],"domain_scores_gemma":[0.9995866,0.00006756126,0.00004540116,0.0001001383,0.0001831949,0.00001708793],"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":[0.0002638004,0.0001485749,0.02127063,0.0008782318,0.0001754316,0.001006196,0.000457897,0.07805321,0.04572146,0.003626517,0.04681451,0.8015835],"study_design_scores_gemma":[0.00004134154,0.0001142342,0.04012797,0.0001304866,0.0001071952,0.0007767356,0.0009029051,0.8039514,0.07748179,0.005733003,0.07056535,0.00006757737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1880305,0.0008298439,0.7152731,0.0002661419,0.0002450689,0.0006089876,0.06268454,0.02139728,0.01066468],"genre_scores_gemma":[0.4717351,0.0008552663,0.4384013,0.00004636895,0.00004787819,0.000453211,0.08288431,0.0006162429,0.004960464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006578319,"threshold_uncertainty_score":0.01308006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05342394067863775,"score_gpt":0.2609336855211732,"score_spread":0.2075097448425355,"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."}}