{"id":"W2123429492","doi":"10.1007/s00446-007-0040-2","title":"The computational power of population protocols","year":2007,"lang":"en","type":"article","venue":"Distributed Computing","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":272,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Multiset; Communication source; Theory of computation; Theoretical computer science; Population; Predicate (mathematical logic); Computation; State (computer science); Computer network; Discrete mathematics; Mathematics; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267094,0.0001318681,0.0001836601,0.00004435397,0.0003898634,0.0001750698,0.000827454,0.00006035689,0.000001649331],"category_scores_gemma":[0.00009262704,0.0001012922,0.00008755139,0.0006541482,0.0000502647,0.0001692224,0.0001296233,0.0001327548,0.000007691612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006043773,"about_ca_system_score_gemma":0.00003672708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003153499,"about_ca_topic_score_gemma":0.000003650719,"domain_scores_codex":[0.9982085,0.00006177539,0.0006469056,0.0002648699,0.0004472832,0.000370641],"domain_scores_gemma":[0.9983837,0.0004002952,0.0003854322,0.0004502683,0.0003050618,0.00007526307],"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":[0.00005473757,0.000267071,0.04318874,0.00006713584,0.00008767055,0.00002588793,0.0007121328,0.07189802,0.0004323566,0.7518101,0.003082318,0.1283738],"study_design_scores_gemma":[0.0008236195,0.0001153425,0.4656373,0.0001790201,0.000004328559,0.00003512761,0.0001644194,0.5105296,0.000617619,0.007170006,0.01437641,0.0003472102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02742673,0.00004139248,0.9700186,0.0001648796,0.0002190991,0.001528798,0.00003493496,0.0001358986,0.0004296783],"genre_scores_gemma":[0.9917646,1.577006e-7,0.008006996,0.00003638189,0.00004418573,0.00003733603,0.00009824424,0.000006040924,0.000006034867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9643379,"threshold_uncertainty_score":0.4130577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301871282599473,"score_gpt":0.2926498428743762,"score_spread":0.2796311300483815,"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."}}