{"id":"W4413256811","doi":"10.1109/mlise66443.2025.11100248","title":"A Real-Time Deraining Network with Rain Feature Perception for Autonomous Driving","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Feature (linguistics); Perception; Computer science; Artificial intelligence; Real-time computing; Psychology","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":[0.000349833,0.0001230001,0.0001339612,0.00007621464,0.0001871655,0.0001977055,0.0003961131,0.00005903729,0.00002300933],"category_scores_gemma":[0.00001836847,0.0001014812,0.00003883256,0.0003229681,0.00002190037,0.0003556455,0.0001394583,0.00008437314,0.000008380586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009559716,"about_ca_system_score_gemma":0.00008946699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001365018,"about_ca_topic_score_gemma":0.00001801054,"domain_scores_codex":[0.9990991,0.00003178403,0.0001129308,0.0003365731,0.0001014292,0.0003182009],"domain_scores_gemma":[0.9994236,0.00008124032,0.00004748097,0.0003498921,0.00006984618,0.00002798595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004387918,0.00008262583,0.0009951638,0.00007128074,0.00009630753,0.00001320166,0.002155712,0.0005601405,0.06325326,0.06498971,0.4597755,0.4079632],"study_design_scores_gemma":[0.0009721913,0.0004953364,0.00726315,0.0004713241,0.00003063822,0.00001562597,0.0001070733,0.9421626,0.01039548,0.009483068,0.02792843,0.0006750277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001500513,0.000009656495,0.9646925,0.001743647,0.00008007953,0.0004193638,2.083472e-7,0.001090674,0.0304633],"genre_scores_gemma":[0.04830707,0.000003887626,0.9193671,0.0007408144,0.00008005709,0.000116167,0.000004312111,0.0000094711,0.03137116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9416025,"threshold_uncertainty_score":0.4138282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006212137310687626,"score_gpt":0.252625693291159,"score_spread":0.2464135559804713,"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."}}