{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001101309,0.003221313,0.0009186543,0.001904961,0.0005262774,0.001976161,0.003354434,0.001675395,0.01125985],"category_scores_gemma":[0.008574274,0.0008353334,0.002016833,0.002150755,0.000855791,0.003288858,0.002530532,0.002248908,0.01005751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098114,"about_ca_system_score_gemma":0.001405372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006929642,"about_ca_topic_score_gemma":0.01198752,"domain_scores_codex":[0.9986454,0.0001829936,0.0001293924,0.0003877397,0.0005355687,0.0001189001],"domain_scores_gemma":[0.9976362,0.0008419313,0.0001146932,0.0007461,0.0005449555,0.0001161843],"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":[0.001335995,0.0005897185,0.007163943,0.002507242,0.0002549636,0.0005194152,0.0005505815,0.07315994,0.02581566,0.01433183,0.4510829,0.4226879],"study_design_scores_gemma":[0.0006317006,0.0005527021,0.002878374,0.000214484,0.00007421672,0.0003967036,0.0002610439,0.7637039,0.0647036,0.02589374,0.1405408,0.0001487999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.05702151,0.00183778,0.3372431,0.0009194365,0.0009742924,0.001206614,0.0697783,0.5176778,0.01334114],"genre_scores_gemma":[0.1837413,0.0008978998,0.5014734,0.0008237341,0.000137112,0.00159909,0.2687636,0.03237638,0.01018751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01125985,"threshold_uncertainty_score":0.03766799,"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."}}