{"id":"W4409368222","doi":"10.1609/aaai.v39i4.32403","title":"EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Computer graphics (images); Scale (ratio); Artificial intelligence; Computer vision; Cartography; Geography","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":[0.0006213668,0.001780801,0.0007614883,0.001100101,0.0003569016,0.00121914,0.002007047,0.0008161535,0.008078084],"category_scores_gemma":[0.001246981,0.0006681567,0.001501396,0.0006352385,0.0005461263,0.001190024,0.002015728,0.002088221,0.002817132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007583682,"about_ca_system_score_gemma":0.001000851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005039187,"about_ca_topic_score_gemma":0.01329185,"domain_scores_codex":[0.9994738,0.00006310578,0.00001911856,0.0000968578,0.0002869112,0.00006039551],"domain_scores_gemma":[0.9996031,0.0001063204,0.00002700698,0.0001324227,0.00008167552,0.00004948959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007974908,0.0003262077,0.001671377,0.0004567083,0.0002092211,0.0004781252,0.000625197,0.08867662,0.1997844,0.01365067,0.045135,0.6481889],"study_design_scores_gemma":[0.0001522562,0.0001480869,0.0007728746,0.00003530283,0.00003812697,0.0003779029,0.0001230445,0.8648781,0.08604715,0.007065108,0.04026306,0.00009901208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01261718,0.0002048846,0.945536,0.0001474157,0.00009007904,0.0001446328,0.0007035533,0.03758069,0.002975531],"genre_scores_gemma":[0.09569567,0.0003055788,0.890446,0.0002992237,0.00004376005,0.0001578479,0.002839533,0.005937795,0.004274575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008078084,"threshold_uncertainty_score":0.02702391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04119501862544264,"score_gpt":0.3319058310828365,"score_spread":0.2907108124573939,"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."}}