{"id":"W7106501654","doi":"10.1016/j.procs.2025.10.337","title":"Cops and Robbers on Token Graphs","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; British Columbia Institute of Technology","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología","keywords":"Graph; Vertex (graph theory); Security token; Set (abstract data type); Integer (computer science)","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":[0.000899935,0.0001731004,0.0001615586,0.0007329209,0.0005711316,0.0004918999,0.002423095,0.00003775558,0.000001964768],"category_scores_gemma":[0.000113116,0.0001526946,0.00003669277,0.00330773,0.0008211415,0.001093467,0.001328316,0.0002274411,0.00002557415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000423832,"about_ca_system_score_gemma":0.0002534094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002973654,"about_ca_topic_score_gemma":0.000002701666,"domain_scores_codex":[0.9976436,0.0000417818,0.0001825436,0.0009452517,0.0005964679,0.0005902791],"domain_scores_gemma":[0.9985656,0.0002398796,0.00004870382,0.0007178086,0.0002167245,0.0002113244],"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":[0.00001044215,0.00003782086,0.00131482,0.00001819845,0.000004977611,0.000007641259,0.0003270223,0.0002079529,0.0004509216,0.8522703,0.0003777572,0.1449721],"study_design_scores_gemma":[0.001046647,0.0007186639,0.02068707,0.0002032475,0.000005994441,0.00005407957,0.00002728669,0.5028964,0.01808714,0.4490603,0.006481282,0.0007319213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03153601,0.0001722163,0.9575769,0.001888656,0.0008511267,0.0003358001,6.853641e-7,0.0003086379,0.007329985],"genre_scores_gemma":[0.8540385,0.00003375098,0.1440622,0.001637317,0.00003317764,0.0000288377,2.577916e-7,0.000005753187,0.0001602176],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8225025,"threshold_uncertainty_score":0.6226704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081046233224349,"score_gpt":0.2842488656303757,"score_spread":0.2734384032981322,"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."}}