{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001867374,0.0003538716,0.0003446894,0.0002573403,0.0002186628,0.0002867811,0.0004302096,0.0002133488,0.000007820162],"category_scores_gemma":[0.00003703544,0.0003435526,0.00004690212,0.000245338,0.00002518542,0.0002520672,0.0003732342,0.0005414297,5.229752e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005040156,"about_ca_system_score_gemma":0.00001004018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002377501,"about_ca_topic_score_gemma":0.00001198047,"domain_scores_codex":[0.9987386,0.00002201158,0.0002749084,0.0005074344,0.0001207309,0.0003362526],"domain_scores_gemma":[0.9993008,0.0001184678,0.00005185359,0.000411648,0.0000232179,0.00009400085],"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":[0.00004454327,0.00001344235,0.0003153644,0.0004080064,0.000107778,0.000003240002,0.00009363027,0.7803283,0.0001992663,0.0004397589,0.0009248992,0.2171217],"study_design_scores_gemma":[0.0008840674,0.00005896335,0.08569182,0.0005949525,0.00005033665,0.000008224284,0.00002303699,0.9013001,0.0001235581,0.0001504584,0.01079818,0.0003162448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0142481,0.0004156805,0.9829935,0.00005081795,0.000941349,0.0004591796,0.00003231381,0.0006179606,0.0002410841],"genre_scores_gemma":[0.7908561,0.0001452952,0.2083312,0.0001263595,0.0002473253,0.00003242118,0.0001474125,0.00006329572,0.00005057717],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.776608,"threshold_uncertainty_score":0.9999017,"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."}}