{"id":"W4415181873","doi":"10.1111/mice.70104","title":"A spatial graph learning framework for multi‐scale road safety management based on road‐curve features and open‐source data","year":2025,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geospatial analysis; Crash; Graph; Spatial network; Geometric networks; Graph theory; Geometric design; Spatial analysis; ENCODE","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":[0.0008197856,0.001319391,0.0007453549,0.003358664,0.0004942571,0.00128016,0.002294022,0.001039577,0.002304121],"category_scores_gemma":[0.002856097,0.0004896594,0.001424215,0.002699746,0.0006192438,0.002133118,0.001747088,0.001464593,0.0008025102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698063,"about_ca_system_score_gemma":0.001493327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03860619,"about_ca_topic_score_gemma":0.06370834,"domain_scores_codex":[0.9994481,0.0001192018,0.00002707375,0.0002444074,0.0001074478,0.00005371417],"domain_scores_gemma":[0.9991328,0.0003442121,0.0001335431,0.0001325996,0.0002011165,0.0000557664],"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":[0.00004115561,0.00009111025,0.004225307,0.00008722894,0.0001036285,0.00009480565,0.00006678609,0.8653701,0.000922491,0.01021729,0.003270686,0.1155094],"study_design_scores_gemma":[0.000002127839,0.000006646868,0.000284016,0.000004920239,0.000006861545,0.000007325158,0.00001053755,0.9910945,0.00014551,0.00789532,0.0005386696,0.000003610777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01313379,0.0003324561,0.9813656,0.0003208543,0.00003050415,0.00007019444,0.001162996,0.002372125,0.001211501],"genre_scores_gemma":[0.5168317,0.0007689584,0.4700787,0.000293849,0.0001038535,0.0003172236,0.007336763,0.0004345574,0.003834485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03860619,"threshold_uncertainty_score":0.07676297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007800205861377741,"score_gpt":0.2354966975907903,"score_spread":0.2276964917294126,"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."}}