{"id":"W2039210060","doi":"10.1016/j.robot.2005.10.004","title":"Experiments in multirobot coordination","year":2005,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Aerospace; Robot; Control (management); Work (physics); Artificial intelligence; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003462647,0.0001812621,0.0002938393,0.0001474668,0.00008661153,0.0003442232,0.000404155,0.00009236448,0.00000148314],"category_scores_gemma":[0.00001900995,0.0001778613,0.00003753657,0.0002004875,0.00002070457,0.0004293581,0.0001217109,0.00009636741,0.00006273807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141446,"about_ca_system_score_gemma":0.0000429234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002389209,"about_ca_topic_score_gemma":0.00002657642,"domain_scores_codex":[0.9984576,0.00009380006,0.0004789837,0.0004068106,0.0002146372,0.0003482375],"domain_scores_gemma":[0.9992304,0.00005165287,0.0001553199,0.0003921833,0.00005646371,0.0001139393],"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":[0.000008563247,0.0005732432,0.008478809,0.0001283079,0.0000769564,0.0000749437,0.002630596,0.6900429,0.006680977,0.2539293,0.0009397441,0.03643557],"study_design_scores_gemma":[0.00102162,0.00003178889,0.001716044,0.0000593126,0.000003412329,0.00002728856,0.00008775639,0.9910935,0.0001691158,0.00002492345,0.005545702,0.0002195878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02332519,0.002773398,0.9667023,0.001926966,0.00161757,0.001080042,0.000009693571,0.0003301442,0.00223464],"genre_scores_gemma":[0.9934283,0.00000797442,0.005497718,0.00005110323,0.0001227592,0.00005503981,0.000006534742,0.00001237424,0.0008181255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9701032,"threshold_uncertainty_score":0.7252972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828762182144629,"score_gpt":0.2484482098033664,"score_spread":0.2301605879819201,"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."}}