{"id":"W4413147425","doi":"10.1109/cvpr52734.2025.01508","title":"StarVector: Generating Scalable Vector Graphics Code from Images and Text","year":2025,"lang":"en","type":"article","venue":"","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scalable Vector Graphics; Graphics; Vector graphics; Scalability; Code (set theory); Computer graphics (images); Programming language; Artificial intelligence; Theoretical computer science; World Wide Web; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002509998,0.00006117512,0.00006674817,0.00003276111,0.00005338085,0.00005797941,0.00003194986,0.0000269407,0.0001112464],"category_scores_gemma":[0.000006664152,0.00005912108,0.0000135112,0.0000809967,0.00001551537,0.0001485391,0.00001516766,0.00005069587,0.000006016424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002366322,"about_ca_system_score_gemma":0.000006471877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002102111,"about_ca_topic_score_gemma":0.0001127745,"domain_scores_codex":[0.9996839,0.000005503408,0.0001140723,0.00008557446,0.00002938561,0.00008161344],"domain_scores_gemma":[0.9998534,0.00003494724,0.000008136443,0.0000684806,0.00001249835,0.0000225781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001373622,0.00005911586,0.2782303,0.0001033403,0.0003104465,8.666987e-7,0.0002480614,0.03712906,0.4748242,0.04572821,0.03919891,0.1241537],"study_design_scores_gemma":[0.0004354494,0.00001581239,0.2649714,0.00002662631,0.00002246201,8.954368e-8,0.0001348391,0.6699326,0.05648178,0.0006205864,0.007175775,0.0001825649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377093,0.0001517805,0.05947762,0.0001216462,0.0001183415,0.00005336074,0.00003152371,0.00011125,0.002225205],"genre_scores_gemma":[0.973125,0.00003431665,0.02641757,0.00009008569,0.00003294232,0.000007504785,0.00003398657,0.000007234337,0.0002513298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6328035,"threshold_uncertainty_score":0.2410888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008248944075376746,"score_gpt":0.2085091435859575,"score_spread":0.2002601995105808,"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."}}