{"id":"W4391095687","doi":"10.1145/3631461.3631543","title":"Maximal Independent Set via Mobile Agents","year":2024,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Set (abstract data type); Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009268766,0.0006709037,0.0008625893,0.0009869434,0.0007015086,0.001130532,0.001312948,0.0009067982,0.002093438],"category_scores_gemma":[0.003703739,0.000455546,0.0007829786,0.001060125,0.001332991,0.001959417,0.001847227,0.001152036,0.0003674594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009785477,"about_ca_system_score_gemma":0.0007577094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598984,"about_ca_topic_score_gemma":0.001516961,"domain_scores_codex":[0.9992294,0.000339042,0.0000239385,0.0001922079,0.0001240342,0.00009137022],"domain_scores_gemma":[0.9980842,0.001296785,0.0002227431,0.0001340977,0.00009615227,0.0001661156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001941871,0.00007788643,0.001154547,0.0002225702,0.0001454819,0.0003118808,0.0002602933,0.6124979,0.002720513,0.3433032,0.003089675,0.03602196],"study_design_scores_gemma":[0.00003889698,0.00005940716,0.0001924965,0.00001567521,0.00002698231,0.00006654613,0.0000482188,0.7622346,0.0008823462,0.2331015,0.003318331,0.0000149196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1076838,0.001172439,0.8784068,0.0008273477,0.00007774604,0.0001055288,0.0002245772,0.0002419747,0.01125966],"genre_scores_gemma":[0.7765197,0.001065944,0.2121235,0.0001519001,0.0001418565,0.0003228694,0.0004690562,0.00008476076,0.009120353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002093438,"threshold_uncertainty_score":0.007099867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984219794187017,"score_gpt":0.3005825518207699,"score_spread":0.2707403538788997,"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."}}