{"id":"W4407189119","doi":"10.1007/978-3-031-82670-2_1","title":"Distributed Computing by Mobile Robots: Exploring the Computational Landscape (Extended Abstract)","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Mobile robot; Distributed computing; Robot; Human–computer interaction; Theoretical computer science; 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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001101756,0.000516357,0.0004758712,0.0005149574,0.000714278,0.001174441,0.003670142,0.0001903405,0.00004256802],"category_scores_gemma":[0.0001006317,0.0004087507,0.0001445778,0.001038632,0.0005297212,0.0007222397,0.001642671,0.001094658,0.00003182274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394569,"about_ca_system_score_gemma":0.0006386297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001536639,"about_ca_topic_score_gemma":0.00001249427,"domain_scores_codex":[0.9959089,0.00005793961,0.000697464,0.001364622,0.001221081,0.0007499904],"domain_scores_gemma":[0.996785,0.001250503,0.000303909,0.001044976,0.0004364676,0.0001790956],"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":[0.000002392075,0.00002904045,0.00001380275,0.00002452832,0.0000130835,0.00001562446,0.0003419798,0.6971488,0.000006792346,0.006913429,0.000606325,0.2948842],"study_design_scores_gemma":[0.000301767,0.00007395613,0.000154974,0.0002956678,0.000005613213,0.00002109855,9.709137e-7,0.970854,0.00009752892,0.02485546,0.002875414,0.0004635176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000373409,0.0004565095,0.9933679,0.001440243,0.001242119,0.0006409328,0.00003800742,0.0002651231,0.002511882],"genre_scores_gemma":[0.2938491,0.0002842362,0.6984429,0.004672218,0.0006865184,0.0001252175,0.0004077007,0.00009121377,0.001440855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2949249,"threshold_uncertainty_score":0.9998624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231243255913058,"score_gpt":0.2629811802111595,"score_spread":0.2406687476520289,"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."}}