{"id":"W2145626058","doi":"10.1109/icar.2005.1507431","title":"Emergence of coherent behaviors from homogenous sensorimotor coupling","year":2006,"lang":"en","type":"article","venue":"ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Modalities; Computer science; Robot; Perception; Set (abstract data type); Object (grammar); Coupling (piping); Task (project management); Homogeneous; Sensory system; Artificial intelligence; Human–computer interaction; Cognitive psychology; Psychology; Neuroscience; Engineering; Physics","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":[0.0003875385,0.0002439712,0.0003858489,0.0002937792,0.0002300592,0.0004264942,0.0004308946,0.0004460806,0.0008307442],"category_scores_gemma":[0.002542101,0.0004638307,0.0003106158,0.0001260205,0.0007384303,0.0007759775,0.001013967,0.0006300473,0.0001493669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303394,"about_ca_system_score_gemma":0.0003665687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006241397,"about_ca_topic_score_gemma":0.0006818515,"domain_scores_codex":[0.9997507,0.00004766748,0.00001069539,0.00007177423,0.00007569945,0.00004349372],"domain_scores_gemma":[0.9992557,0.0002315093,0.0001565949,0.0001285797,0.00009118938,0.0001362667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002980259,0.0001987734,0.01216565,0.0002039676,0.0002117015,0.001585353,0.001343599,0.3538841,0.4248897,0.1488511,0.001289274,0.05507871],"study_design_scores_gemma":[0.00003881955,0.0001587702,0.008366854,0.000008905883,0.00002825567,0.0002329466,0.0001045233,0.9300701,0.0122077,0.04813214,0.0006252304,0.000025639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.698113,0.00008617239,0.2968242,0.0001375263,0.00001324562,0.00004115368,0.00003489431,0.0003080583,0.004441799],"genre_scores_gemma":[0.9873152,0.00004020638,0.01187722,0.0000308858,0.0000058394,0.00003081201,0.00002790954,0.000020832,0.0006510089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008307442,"threshold_uncertainty_score":0.002779126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602185392410942,"score_gpt":0.2628580533250786,"score_spread":0.2368361994009691,"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."}}