{"id":"W2171976581","doi":"10.1109/crv.2010.28","title":"Selecting and Commanding Individual Robots in a Multi-Robot System","year":2010,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Robot; Computer science; Artificial intelligence; Social robot; Gesture; Robot control; Computer vision; Motion (physics); Mobile robot; Human–computer interaction; Robot kinematics; Face (sociological concept)","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":[0.0004399857,0.0005883432,0.0006036199,0.0002918978,0.000599946,0.0005691826,0.001161319,0.0006396839,0.003867265],"category_scores_gemma":[0.000840895,0.0002943672,0.000204157,0.0001717293,0.0004214148,0.0008253668,0.0008914184,0.0005666523,0.001210309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216952,"about_ca_system_score_gemma":0.000374731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644809,"about_ca_topic_score_gemma":0.002768443,"domain_scores_codex":[0.9995925,0.00007703138,0.00002105676,0.0001262756,0.000129851,0.00005324259],"domain_scores_gemma":[0.9994966,0.0001660287,0.00006882795,0.00007703023,0.00007233905,0.0001191383],"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":[0.001531444,0.0005704695,0.004945376,0.0002438664,0.0001029165,0.001205945,0.001223331,0.06471987,0.4997112,0.004695274,0.004422598,0.4166278],"study_design_scores_gemma":[0.0002014338,0.001172175,0.004842561,0.00003307562,0.0001025565,0.0008196532,0.0003540417,0.8524871,0.1182952,0.003875335,0.01771397,0.0001028839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1924949,0.0003996239,0.7947838,0.0002373836,0.00009117994,0.0002552098,0.00004316464,0.005533488,0.006161136],"genre_scores_gemma":[0.7565348,0.0001245978,0.2368769,0.0001092689,0.00005733181,0.000154666,0.00005983757,0.00009170269,0.005990986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003867265,"threshold_uncertainty_score":0.01293731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011878227747134,"score_gpt":0.2723964274545166,"score_spread":0.2322776451770452,"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."}}