{"id":"W2162029073","doi":"10.1109/cec.2008.4631243","title":"Creature Academy: A system for virtual creature evolution","year":2008,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Creatures; Computer science; Artificial life; Human–computer interaction; Artificial intelligence; Motion (physics); Function (biology); Cognitive science","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":[0.001017837,0.0004980004,0.0005917634,0.0005349983,0.0005277445,0.001096596,0.002187799,0.001233633,0.009658556],"category_scores_gemma":[0.002853818,0.000428336,0.0005549552,0.0002435724,0.0008300735,0.001559852,0.002698644,0.001168548,0.001789342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843384,"about_ca_system_score_gemma":0.0003816028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000505215,"about_ca_topic_score_gemma":0.0003913605,"domain_scores_codex":[0.9996222,0.0001118157,0.00002889501,0.0001111477,0.00008553042,0.0000404433],"domain_scores_gemma":[0.9988739,0.000387346,0.00007165734,0.0003714295,0.0000689283,0.0002266707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00326849,0.001087839,0.00857181,0.001288844,0.0005824535,0.001621142,0.002955932,0.1464364,0.3518831,0.07161535,0.05408318,0.3566056],"study_design_scores_gemma":[0.0007235464,0.001098332,0.004666448,0.0001194186,0.0002151778,0.001723036,0.0001795647,0.5615284,0.09928389,0.02815877,0.301999,0.000304324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06538323,0.0004358041,0.8499906,0.0003347105,0.000377437,0.0005428907,0.0009297394,0.07162537,0.01038025],"genre_scores_gemma":[0.5169946,0.0004038205,0.4626364,0.0004226356,0.0001088154,0.001841591,0.002868269,0.004463351,0.01026052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009658556,"threshold_uncertainty_score":0.03231108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388665114150432,"score_gpt":0.2084856917319458,"score_spread":0.1945990405904415,"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."}}