{"id":"W3037022759","doi":"10.1609/socs.v11i1.18525","title":"Moving Agents in Formation in Congested Environments","year":2020,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Swarm behaviour; Computer science; Focus (optics); Path (computing); Phase (matter); Swarm robotics; Field (mathematics); Algorithm; Mathematical optimization; Artificial intelligence; Mathematics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.000398855,0.0000915511,0.0001147873,0.0001175106,0.00004169447,0.0001255676,0.001476955,0.0000523401,0.0000154409],"category_scores_gemma":[0.0001417564,0.00007937833,0.00004075604,0.000463493,0.0000313439,0.0006879124,0.0005655447,0.000254112,0.00001724941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267826,"about_ca_system_score_gemma":0.00002202118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004072714,"about_ca_topic_score_gemma":0.000001777752,"domain_scores_codex":[0.9983532,0.00002429808,0.0003229638,0.0002413648,0.0008706212,0.0001874825],"domain_scores_gemma":[0.9996023,0.0000511436,0.0001068338,0.00007607414,0.00009659418,0.0000670197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000417121,0.001084284,0.06856143,0.0001416654,0.00004720933,0.000008300257,0.01027241,0.01851658,0.182026,0.7149479,0.00141278,0.002564275],"study_design_scores_gemma":[0.004941166,0.0003756177,0.0190447,0.0002510824,0.000002598058,0.000004275775,0.0001918714,0.787236,0.1771102,0.007489512,0.003046942,0.0003060462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425089,0.000006648342,0.0008446715,0.03810106,0.001394916,0.0008362457,0.000004023055,0.00004518207,0.01625836],"genre_scores_gemma":[0.9991414,0.0000236241,0.0002790702,0.0004158582,0.00005255954,0.00001891951,0.00000170766,0.000006862543,0.0000599925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7687195,"threshold_uncertainty_score":0.3236954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289317222300333,"score_gpt":0.2676956056488399,"score_spread":0.2348024334258366,"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."}}