{"id":"W4414055433","doi":"10.1109/icmi65310.2025.11141038","title":"Road Network Extraction Using CNN Architectures","year":2025,"lang":"en","type":"article","venue":"","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Geospatial analysis; Deep learning; Convolutional neural network; Workflow; Field (mathematics); Software; Overfitting; Artificial neural network; Sørensen–Dice coefficient","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":[],"consensus_categories":[],"category_scores_codex":[0.00005690673,0.00008387103,0.00007502524,0.00007733914,0.0000795865,0.00002901987,0.00004393485,0.00007248949,0.0000840013],"category_scores_gemma":[0.000006077445,0.00007640565,0.00003381306,0.0002064857,0.000007936333,0.00005489492,0.000008854275,0.0001352484,0.00001687333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005045298,"about_ca_system_score_gemma":0.000008223414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004377844,"about_ca_topic_score_gemma":0.00001180572,"domain_scores_codex":[0.9995778,0.000008969747,0.0001111423,0.00008831132,0.00005369074,0.0001600466],"domain_scores_gemma":[0.9998455,0.00001923381,0.00001220527,0.00009428398,0.000009643863,0.00001910141],"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":[0.000003299916,0.000005859672,0.0002452721,0.00002127983,0.00002844117,0.000001678199,0.00001164494,0.9201034,0.0333981,0.0004138324,0.004073708,0.0416935],"study_design_scores_gemma":[0.0001142781,0.000005119895,0.01260349,0.00006744626,0.00002554792,0.00001384261,0.00001713787,0.956785,0.01513046,0.001438411,0.01365264,0.00014667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6471395,0.0004760227,0.2962519,0.00006909979,0.001894183,0.00009737492,4.832684e-7,0.001375326,0.05269603],"genre_scores_gemma":[0.9942001,0.00001596309,0.004812565,0.00004926149,0.0002001804,0.000002800153,0.00000195101,0.00001188713,0.0007052706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3470606,"threshold_uncertainty_score":0.3115732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008301496159518971,"score_gpt":0.2589646442992306,"score_spread":0.2506631481397116,"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."}}