{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002995147,0.0006711843,0.0006821886,0.0002088998,0.0003729987,0.0001490665,0.0007178971,0.0007071957,0.001106788],"category_scores_gemma":[0.00006103093,0.0006527885,0.0004699324,0.0003345129,0.0002794451,0.00084831,0.0001173586,0.0008370073,0.0002151408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003640158,"about_ca_system_score_gemma":0.00004822717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001751437,"about_ca_topic_score_gemma":0.03600591,"domain_scores_codex":[0.9968052,0.00004386466,0.0009597745,0.0007515369,0.0005913554,0.0008482914],"domain_scores_gemma":[0.9984015,0.0001165902,0.0001030974,0.0008416292,0.00006161578,0.00047563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006429529,0.0002022793,0.000007109013,0.00002628947,0.00002307472,0.000004878667,0.00005662999,0.002205055,0.8643377,0.09900171,0.01811035,0.01596063],"study_design_scores_gemma":[0.002938018,0.003098197,0.61594,0.0002908474,0.0001962254,0.00007284954,0.0001337694,0.00002882463,0.0008285012,0.01562073,0.3587421,0.002109912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.854121,0.0005597442,0.0004517261,0.004370892,0.0007266393,0.003188722,0.0002448672,0.01589874,0.1204377],"genre_scores_gemma":[0.9885315,0.00009080207,0.007909011,0.0007166007,0.0005132483,0.0002961994,0.0001471549,0.0001851372,0.001610351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8635092,"threshold_uncertainty_score":0.9998063,"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."}}