{"id":"W2894976343","doi":"10.48550/arxiv.1810.03572","title":"Fast and In Sync: Periodic Swarm Patterns for Quadrotors","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Swarm behaviour; Computer science; Motion (physics); Trajectory; Choreography; Synchronizing; Drone; Smoothness; Artificial intelligence; Swarm robotics; Computer vision; Mathematics","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":[0.0003113132,0.0003064889,0.0003639486,0.0003554084,0.000126809,0.0001531499,0.001370764,0.0002780118,0.000005446656],"category_scores_gemma":[0.00004431087,0.0003618473,0.0001094755,0.0002880579,0.0001265483,0.0002492228,0.001483313,0.0003787495,0.00002553652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742667,"about_ca_system_score_gemma":0.0001564892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002350421,"about_ca_topic_score_gemma":0.00004297162,"domain_scores_codex":[0.9979954,0.00009260104,0.0002030677,0.001201097,0.00008089296,0.0004269665],"domain_scores_gemma":[0.9985299,0.0001337425,0.0001877489,0.0008924035,0.0000928934,0.0001633069],"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":[0.0001546398,0.0004244205,0.4153424,0.001133444,0.0002763741,0.002105105,0.006559717,0.5493542,0.0000379099,0.01808344,0.00109053,0.005437797],"study_design_scores_gemma":[0.0006630386,0.0001066286,0.02490394,0.0002809814,0.00002766419,0.00001169586,0.0001117774,0.9682774,0.00004913888,0.004941329,0.0001163183,0.0005101029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3917096,0.00002223529,0.6069828,0.00004964649,0.0005748942,0.0003953619,0.00001989562,0.0001074656,0.0001381575],"genre_scores_gemma":[0.9822211,0.00003971176,0.01701995,0.00006184317,0.0001019343,0.000005589078,0.00001402839,0.00001928544,0.0005165951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5905115,"threshold_uncertainty_score":0.9998834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06680315273627947,"score_gpt":0.2030203075792196,"score_spread":0.1362171548429401,"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."}}