{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002143069,0.0001380436,0.0001425318,0.0002355769,0.0004527521,0.0001931723,0.0003858744,0.00005768056,0.000001698943],"category_scores_gemma":[0.00001298706,0.0001230001,0.0000986719,0.0004456956,0.00002368917,0.0002862099,0.00002754437,0.0002918629,0.00001649911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002337252,"about_ca_system_score_gemma":0.0001150015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002074873,"about_ca_topic_score_gemma":0.000001986839,"domain_scores_codex":[0.998871,0.0001059906,0.0002862372,0.0002720536,0.000273238,0.0001914991],"domain_scores_gemma":[0.999105,0.0001215298,0.0001497159,0.0002882068,0.0002520892,0.0000834986],"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":[0.00001043421,0.00002690699,0.000001276959,0.000005787345,0.00001187097,0.00001560623,0.00003608461,0.9291724,0.00562007,0.04622159,0.0006613837,0.01821662],"study_design_scores_gemma":[0.0002156328,0.00005615265,0.00002983036,0.00006907994,0.000005407413,0.00007184168,0.00001455025,0.9103265,0.05961539,0.02810741,0.001373999,0.0001141616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004128614,0.00001886761,0.9868187,0.001439274,0.0004531789,0.0001658431,0.000002392647,0.0002372443,0.006735867],"genre_scores_gemma":[0.7918774,0.000005995332,0.2069656,0.0006682876,0.0001367444,0.0000221575,5.298186e-7,0.000007533672,0.0003157672],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7877488,"threshold_uncertainty_score":0.5015799,"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."}}