{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009216772,0.001168866,0.0004913075,0.000689906,0.0007041473,0.001334372,0.001689693,0.001229843,0.01959737],"category_scores_gemma":[0.002732761,0.0005916745,0.000942484,0.0003255299,0.001291141,0.001393583,0.00341628,0.001124609,0.004224621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005842004,"about_ca_system_score_gemma":0.0006943051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616013,"about_ca_topic_score_gemma":0.004649435,"domain_scores_codex":[0.9995015,0.0001408431,0.00001833555,0.0001548572,0.0001477384,0.00003667861],"domain_scores_gemma":[0.9994319,0.0003273203,0.00002462034,0.0001056607,0.00006296764,0.00004742633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004873423,0.0002395453,0.001692232,0.001015941,0.0001369015,0.001635229,0.003231048,0.1521904,0.08178528,0.0893452,0.07886552,0.5893754],"study_design_scores_gemma":[0.0001119715,0.0001807882,0.0007057047,0.0002024245,0.0000434128,0.0008254483,0.0006230258,0.7681822,0.02737288,0.07666605,0.1249952,0.00009093835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006702912,0.0002874751,0.964411,0.0002602065,0.0001466552,0.0002535667,0.000494044,0.01541374,0.01203035],"genre_scores_gemma":[0.1441558,0.0003596309,0.836563,0.0003309415,0.00006151813,0.0004746437,0.002495809,0.003115754,0.0124429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01959737,"threshold_uncertainty_score":0.06555974,"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."}}