{"id":"W4410553862","doi":"10.1007/978-3-031-91736-3_18","title":"Oblivious Robots Under Sequential Schedulers: Universal Pattern Formation","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Computer science; Robot; Theoretical computer science; Distributed computing; Artificial intelligence","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":[0.0005993309,0.0004165687,0.0003611274,0.001232528,0.0003063066,0.0009027449,0.00271172,0.0003185648,0.00005433802],"category_scores_gemma":[0.00003739923,0.0004083296,0.0001222296,0.0007956554,0.0004007552,0.001502326,0.001475133,0.0007430635,0.00006449884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005379422,"about_ca_system_score_gemma":0.00089826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003434832,"about_ca_topic_score_gemma":0.000111303,"domain_scores_codex":[0.9967861,0.00006120613,0.0004558206,0.001097165,0.0009783279,0.0006214508],"domain_scores_gemma":[0.9980314,0.0002018616,0.0002239558,0.001008201,0.0003624893,0.0001720957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002992981,0.00002574136,0.00001065938,0.00005263996,0.00001371532,0.00004179105,0.0005501378,0.4648138,0.00003993335,0.04581371,0.0001083013,0.4885266],"study_design_scores_gemma":[0.0003550569,0.00008740444,0.00001890192,0.0003518679,0.000006317254,0.00002662669,4.311768e-7,0.9493255,0.0003111018,0.0483893,0.0006832224,0.0004442748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000008486404,0.0001174663,0.9893287,0.002069833,0.001458621,0.000420693,0.000005052149,0.0002243718,0.006366813],"genre_scores_gemma":[0.1445097,0.000226793,0.8432412,0.007422186,0.0005306386,0.0000168958,0.00005953983,0.00005879527,0.003934162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4880823,"threshold_uncertainty_score":0.9998369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479317062862664,"score_gpt":0.2592110744613071,"score_spread":0.2344179038326805,"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."}}