{"id":"W4416098793","doi":"10.1109/iccv51701.2025.00626","title":"Placeit3d: Language-Guided Object Placement in Real 3D Scenes","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Task (project management); Suite; Benchmark (surveying); Object (grammar); Asset (computer security); Point (geometry); 3d model","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005817033,0.000330441,0.0003760308,0.0004380819,0.00008046699,0.0002207609,0.002071067,0.0002461849,0.0001059492],"category_scores_gemma":[0.0001132012,0.0003213639,0.00009836992,0.000457068,0.00002919379,0.00008205639,0.003289943,0.0008592439,0.0001187688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688162,"about_ca_system_score_gemma":0.0004576163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02536284,"about_ca_topic_score_gemma":0.001227434,"domain_scores_codex":[0.9975358,0.0002023466,0.0004946182,0.001032014,0.0003642472,0.0003709646],"domain_scores_gemma":[0.9976557,0.0002486432,0.0001745461,0.001763167,0.00007170194,0.00008617822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005155414,0.000991606,0.06281269,0.001110193,0.0002426156,0.0001066253,0.01622278,0.6154639,0.0009941814,0.1545954,0.0225975,0.124811],"study_design_scores_gemma":[0.0007666075,0.00002762896,0.0438691,0.0002854938,0.0000160431,0.000005106276,0.0001059583,0.9505343,0.0006596986,0.001409982,0.001657111,0.0006629187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1134232,0.000275588,0.5273733,0.005936141,0.001101712,0.002275466,0.00004143245,0.002128588,0.3474447],"genre_scores_gemma":[0.5649371,0.00009930803,0.4184119,0.0007444332,0.0001548054,0.0007518657,0.0001065074,0.00002595739,0.01476807],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4515139,"threshold_uncertainty_score":0.9999238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456446897506543,"score_gpt":0.3487846511773389,"score_spread":0.3242201822022734,"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."}}