{"id":"W1549003954","doi":"10.4271/2005-01-2689","title":"New Behavioral Paradigms for Virtual Human Models","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Human Motion and Animation","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Human–computer interaction","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":[0.001098972,0.000723001,0.0003190168,0.0005063426,0.0008362724,0.002450199,0.001700295,0.001257774,0.01267577],"category_scores_gemma":[0.003812741,0.0004902437,0.0007500934,0.0002208722,0.004905031,0.005032223,0.002916658,0.002193302,0.001543488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000918383,"about_ca_system_score_gemma":0.0006010274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009728456,"about_ca_topic_score_gemma":0.001141692,"domain_scores_codex":[0.9990108,0.0004330012,0.00004394106,0.000225338,0.0002163418,0.00007048505],"domain_scores_gemma":[0.9987457,0.0004394899,0.00008544849,0.0003715178,0.0001670628,0.0001907428],"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":[0.00002301719,0.00002623724,0.0001647923,0.00005656839,0.000008063666,0.00003573798,0.0008449151,0.003311578,0.003260266,0.9762442,0.001453977,0.01457072],"study_design_scores_gemma":[0.00004188549,0.0001050366,0.0003591901,0.00007910108,0.00001797644,0.0002112057,0.0006982047,0.05083289,0.001769999,0.8818375,0.06401136,0.00003566039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02144084,0.0007174067,0.8766559,0.003459219,0.0003502886,0.00009442052,0.0001496853,0.0007485798,0.09638368],"genre_scores_gemma":[0.4844828,0.0009167221,0.4779814,0.001302519,0.0002010881,0.0008302612,0.0002974762,0.0004454647,0.03354231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01267577,"threshold_uncertainty_score":0.04240465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767447850119996,"score_gpt":0.2741954611708583,"score_spread":0.2465209826696583,"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."}}