{"id":"W2055936046","doi":"10.2316/journal.206.2011.4.206-3561","title":"NON-OSCILLATORY MULTI-ROBOT MOTION FOR STABLE TARGET CAPTURE","year":2011,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Motion (physics); Robot; Motion capture; Artificial intelligence; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004360011,0.0001038799,0.0001492696,0.0002085198,0.00006280316,0.0001164359,0.0004658661,0.00006729206,0.000005344488],"category_scores_gemma":[0.00008089714,0.00009215569,0.00006768331,0.00007567851,0.0000234522,0.0007327003,0.00006430837,0.0001101591,0.000003332806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006578063,"about_ca_system_score_gemma":0.00007010964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001162834,"about_ca_topic_score_gemma":5.715041e-7,"domain_scores_codex":[0.9989805,0.00002128507,0.0003831771,0.0001393545,0.0003427464,0.0001329455],"domain_scores_gemma":[0.9986753,0.00004743618,0.0004461056,0.0001077774,0.0006455658,0.00007778087],"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":[0.0001139768,0.0009780652,0.0215771,0.0001226715,0.0007339275,0.000223311,0.01461438,0.8189291,0.007177936,0.04047481,0.003500781,0.09155393],"study_design_scores_gemma":[0.0007600022,0.00009337782,0.02794015,0.00006915272,0.00001280863,0.0001479013,0.0000480711,0.9668067,0.001072386,0.002783585,0.0001512642,0.0001146368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002301169,0.00009959759,0.9949265,0.0004774881,0.001938529,0.00009806138,0.000004998718,0.00003032158,0.0001233055],"genre_scores_gemma":[0.2993852,0.00001294532,0.7003047,0.00008716698,0.0001231262,0.0000017897,0.000003993874,0.000006514435,0.00007453018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.297084,"threshold_uncertainty_score":0.3758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232351263454092,"score_gpt":0.2673620389499561,"score_spread":0.2350385263154152,"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."}}