{"id":"W4407315999","doi":"10.1109/jsen.2025.3538529","title":"Railway Side Slope Hazard Detection System Based on Generative Models","year":2025,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"State Key Laboratory of Rail Traffic Control and Safety","keywords":"Hazard; Computer science; Reliability engineering; Engineering","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":[0.000243871,0.0006869095,0.0005600536,0.0007632265,0.0001954796,0.0005324949,0.0008411522,0.0004763712,0.001453512],"category_scores_gemma":[0.0007051297,0.0003048588,0.00100185,0.0003933151,0.0001745731,0.0006284185,0.0008027817,0.0007473857,0.0008462854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636337,"about_ca_system_score_gemma":0.0005122386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127087,"about_ca_topic_score_gemma":0.0159264,"domain_scores_codex":[0.9997652,0.00002646836,0.000009995681,0.0001035545,0.00005733376,0.00003744495],"domain_scores_gemma":[0.9997932,0.00005977403,0.00002817132,0.00004028972,0.00005510702,0.0000235137],"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":[0.0005124976,0.0004392521,0.01754697,0.0002317799,0.0002241112,0.0008124363,0.0002523516,0.4480944,0.05326211,0.002720624,0.01302714,0.4628763],"study_design_scores_gemma":[0.000008448355,0.00002536849,0.001512723,0.000005263387,0.0000170993,0.00006398155,0.00001524235,0.9942544,0.002818165,0.0005957555,0.000672018,0.00001160632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2511403,0.0005545565,0.7180079,0.000428604,0.0001271488,0.0002183889,0.002832469,0.02074014,0.005950484],"genre_scores_gemma":[0.8664092,0.0002604186,0.1218803,0.0002392834,0.00004480128,0.0001427334,0.005615558,0.0002932968,0.005114283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0127087,"threshold_uncertainty_score":0.02526945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990250622411094,"score_gpt":0.2768192380509383,"score_spread":0.2569167318268273,"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."}}