{"id":"W4417002955","doi":"10.1109/uemcon67449.2025.11267729","title":"HUGMAN: Humanoid Understanding and Generation via Multimodal AI and NLP","year":2025,"lang":"","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity Western University; Western University","funders":"","keywords":"Generative grammar; Natural language generation; Bridging (networking); Animation; Character animation; Face (sociological concept); Natural language","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":[0.0001404557,0.0001939634,0.0001698917,0.0002243256,0.0003605849,0.0003119325,0.00003669974,0.0001394958,0.0003893619],"category_scores_gemma":[0.00001142119,0.0002160676,0.00002904842,0.0001289196,0.00005870552,0.0003449188,0.00004332681,0.0001695011,0.0000170677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629181,"about_ca_system_score_gemma":0.00001622127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001784345,"about_ca_topic_score_gemma":0.0001052228,"domain_scores_codex":[0.9991155,0.00003297996,0.0002893556,0.0002712724,0.00009719455,0.0001936596],"domain_scores_gemma":[0.9997382,0.00002125896,0.00002748641,0.0001096976,0.0000292285,0.00007419029],"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":[0.00002979859,0.0001377299,0.003309079,0.001431551,0.0003179547,0.000007704817,0.004979754,0.01064695,0.2344542,0.6771469,0.01127904,0.05625938],"study_design_scores_gemma":[0.0008133087,0.0000386954,0.00413479,0.00007875545,0.00004451685,0.000002905405,0.0003685803,0.9883297,0.002672077,0.002441121,0.000842967,0.0002325713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1323065,0.0007960246,0.850724,0.0007008372,0.000429672,0.0002436767,0.000002382879,0.0001373558,0.01465952],"genre_scores_gemma":[0.9950388,0.0002762413,0.0008729105,0.000333783,0.0001472761,0.000005014632,0.00001361392,0.00001724356,0.003295111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9776828,"threshold_uncertainty_score":0.8810982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125395766923828,"score_gpt":0.2575577618313277,"score_spread":0.2263038041620894,"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."}}