{"id":"W4330339813","doi":"10.48550/arxiv.2303.10735","title":"SKED: Sketch-guided Text-based 3D Editing","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Rendering (computer graphics); Sketch; Graphics; Pipeline transport; Computer graphics (images); Computer graphics; Radiance; Artificial intelligence; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005023929,0.0003894437,0.0003752388,0.0008087642,0.0002457575,0.000346456,0.002654128,0.0003459605,0.00001989905],"category_scores_gemma":[0.00005409405,0.0004786795,0.0003043977,0.001504525,0.00009508725,0.00029557,0.003022275,0.0005675147,0.00008581054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443191,"about_ca_system_score_gemma":0.0002701848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002186291,"about_ca_topic_score_gemma":0.00004247064,"domain_scores_codex":[0.9974729,0.0001668239,0.0003376999,0.001403538,0.0001814512,0.0004375683],"domain_scores_gemma":[0.9973541,0.0001735702,0.000378033,0.00157925,0.0003277859,0.000187228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004903226,0.0001173806,0.003467098,0.0001674599,0.00007882246,0.0003665488,0.0001680775,0.04651032,0.00001299015,0.9388441,0.008969488,0.001292777],"study_design_scores_gemma":[0.0002585493,0.00004105224,0.0007658881,0.000179724,0.00002581653,0.000001761939,0.00001030416,0.9237562,0.0003113512,0.0719414,0.002226159,0.000481723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01149643,0.00001750538,0.983134,0.0002154612,0.001256601,0.0003400014,0.0000158182,0.002544234,0.000979938],"genre_scores_gemma":[0.9885353,0.00007686875,0.009771676,0.0003490345,0.0002568689,0.000003813159,0.00004994289,0.00004587777,0.0009105975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9770389,"threshold_uncertainty_score":0.9997665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248535723939995,"score_gpt":0.2419400863826579,"score_spread":0.1170865139886584,"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."}}