{"id":"W4416981888","doi":"10.48550/arxiv.2504.19478","title":"CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; City University of Hong Kong","keywords":"Cuboid; Minimum bounding box; Object (grammar); Noise (video); Bounding overwatch; Filter (signal processing); Sampling (signal processing)","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":[0.0007685573,0.00272617,0.001553349,0.002211583,0.0008862971,0.002439189,0.003751548,0.002010941,0.008218053],"category_scores_gemma":[0.002015291,0.001396969,0.003286685,0.002033778,0.001001765,0.001690085,0.002307578,0.002549349,0.006881268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221523,"about_ca_system_score_gemma":0.00140253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007784977,"about_ca_topic_score_gemma":0.01818781,"domain_scores_codex":[0.99885,0.0002397229,0.00004926637,0.0003863757,0.0003740249,0.0001006455],"domain_scores_gemma":[0.9992591,0.0001697012,0.00004798467,0.0003521781,0.0001151096,0.00005594781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000416645,0.000340526,0.00323521,0.001368309,0.0002167866,0.000356391,0.000302825,0.2900059,0.02966093,0.02830751,0.08171952,0.5640695],"study_design_scores_gemma":[0.00005272258,0.0001135369,0.0006748371,0.00007850264,0.00003482152,0.0004775102,0.00007908395,0.8939587,0.01847273,0.01531422,0.07068782,0.00005547704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009141121,0.0007651712,0.9609025,0.0001923705,0.0001331287,0.0002406832,0.004572656,0.01826858,0.005783675],"genre_scores_gemma":[0.07634595,0.0005145204,0.8973076,0.0002004958,0.00004217178,0.0003735549,0.01806437,0.002371276,0.004780061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008218053,"threshold_uncertainty_score":0.02749211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06682137470200691,"score_gpt":0.2781696574409986,"score_spread":0.2113482827389917,"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."}}