{"id":"W1988196484","doi":"10.1109/tnn.2011.2169808","title":"Bioinspired Neural Network for Real-Time Cooperative Hunting by Multirobots in Unknown Environments","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Robot; Computer science; Artificial neural network; Artificial intelligence; Robotics; Motion planning; Alliance; Path (computing); Collision avoidance; Order (exchange); Collision; Computer security","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"],"consensus_categories":[],"category_scores_codex":[0.0002773732,0.0003902728,0.00039157,0.0001205581,0.0003833056,0.00009015294,0.0007179283,0.0002083308,0.00001709765],"category_scores_gemma":[0.000005888647,0.00038852,0.0001478452,0.0005811402,0.00009868728,0.0005512292,0.000009605931,0.0004923598,0.00002509533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009308428,"about_ca_system_score_gemma":0.00001873292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001310131,"about_ca_topic_score_gemma":0.00002297618,"domain_scores_codex":[0.9973484,0.0002112051,0.0005243924,0.0007879091,0.0002373425,0.0008907488],"domain_scores_gemma":[0.9987414,0.0003381164,0.0001642231,0.0005410896,0.00002834708,0.0001868222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005957021,0.0001927197,0.0001271801,0.000003484827,0.00002480436,0.00002210332,0.0003225383,0.9725873,0.0008658709,0.00001708162,0.000462738,0.02531457],"study_design_scores_gemma":[0.0009669833,0.0003581164,0.000907689,0.00004558382,0.00001834707,0.00001324332,0.00000799388,0.9959362,0.001278228,0.00001715849,0.00006055392,0.0003898647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01758654,0.00005632865,0.979629,0.0001191267,0.00147298,0.0007309214,0.0000166298,0.0002477074,0.0001407015],"genre_scores_gemma":[0.8989496,0.00005044016,0.09939659,0.000417952,0.0001691403,0.0002177932,0.00001873631,0.00006168726,0.0007180464],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8813631,"threshold_uncertainty_score":0.9998567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645550093874028,"score_gpt":0.238045988728049,"score_spread":0.2115904877893087,"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."}}