{"id":"W7131132149","doi":"10.1109/iccvw69036.2025.00710","title":"Objaverse++: Curated 3D Object Dataset with Quality Annotations","year":2025,"lang":"","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Annotation; Raw data; Training set; Object (grammar); Transparency (behavior); Quality (philosophy); Artificial neural network; Generative grammar","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001259777,0.004432467,0.001803864,0.003192915,0.0009486719,0.002303083,0.005171319,0.002927484,0.01480394],"category_scores_gemma":[0.004904686,0.001417393,0.003648779,0.002884224,0.0009515673,0.001670575,0.004123908,0.00280706,0.01583074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369001,"about_ca_system_score_gemma":0.00138535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149385,"about_ca_topic_score_gemma":0.05157204,"domain_scores_codex":[0.9983689,0.0002210706,0.0001296046,0.0004494676,0.0007003381,0.0001307236],"domain_scores_gemma":[0.9975655,0.0005551323,0.0001050489,0.001187185,0.0004483784,0.0001388125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007084268,0.0005768962,0.006341808,0.002863317,0.0005549883,0.001487404,0.0003531393,0.04993119,0.01531616,0.003619061,0.7877733,0.1304743],"study_design_scores_gemma":[0.0006189007,0.0003698826,0.01248732,0.0005491482,0.0002683155,0.003032666,0.0003423535,0.1977865,0.03354408,0.007969493,0.7425737,0.0004577495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04277122,0.00325184,0.1322408,0.001005274,0.001322909,0.001341656,0.6371024,0.1659261,0.01503782],"genre_scores_gemma":[0.04720242,0.0006070799,0.09874725,0.0004330044,0.00006111975,0.0008729834,0.839213,0.008519913,0.004343248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0149385,"threshold_uncertainty_score":0.04952413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168874228549615,"score_gpt":0.3008849650448137,"score_spread":0.2791962227593175,"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."}}