{"id":"W4412530661","doi":"10.1007/s11263-025-02533-0","title":"Learning Latent Part-Whole Hierarchies for Point Clouds","year":2025,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Probabilistic latent semantic analysis; Artificial intelligence; Point (geometry); Point cloud; Pattern recognition (psychology); Mathematics; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002236096,0.00007561816,0.0001413839,0.0002589354,0.00003615341,0.0000878845,0.000223856,0.00003055269,0.00001112973],"category_scores_gemma":[0.0000171471,0.00006495271,0.0001778809,0.00006458133,0.000009774805,0.000113131,0.0000400349,0.0001596935,0.000004840607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005176562,"about_ca_system_score_gemma":0.00001707875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.887815e-7,"about_ca_topic_score_gemma":4.598434e-7,"domain_scores_codex":[0.9992927,0.00001796531,0.0003372517,0.00006603964,0.0001998767,0.00008613003],"domain_scores_gemma":[0.9994832,0.00008614138,0.00007169249,0.00004874253,0.0002787659,0.00003150206],"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":[0.00003489428,0.00002430763,0.0001979915,0.00001227749,0.0002656008,0.00000989042,0.0001107269,0.8524024,0.0007704505,0.0002349297,0.005709365,0.1402272],"study_design_scores_gemma":[0.0004765287,0.0001089686,0.0004142331,0.000280126,0.00002499837,0.00001437935,0.00001071538,0.9590426,0.0005782174,0.001910071,0.03707231,0.00006686164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.122373,0.0002594677,0.8742136,0.0009704884,0.001890736,0.0000250306,0.000002503324,0.00003670609,0.0002283944],"genre_scores_gemma":[0.9885796,0.0001085824,0.01022879,0.0001165936,0.0006430768,0.000001044495,0.000007655121,0.000008919377,0.0003056764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8662066,"threshold_uncertainty_score":0.2648695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008047460329507908,"score_gpt":0.2655704559501658,"score_spread":0.2575229956206578,"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."}}