{"id":"W3131743673","doi":"10.4230/lipics.disc.2021.43","title":"Brief Announcement: Fast Graphical Population Protocols","year":2021,"lang":"en","type":"preprint","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Population; Medicine; Environmental health","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":[0.0009555423,0.0008645018,0.001171487,0.0003376609,0.0004636045,0.00306934,0.002774435,0.000876491,0.00002368748],"category_scores_gemma":[0.00009893164,0.0008366377,0.0007117862,0.0006201905,0.0001041115,0.002092787,0.002346474,0.001313038,0.00004611664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003013808,"about_ca_system_score_gemma":0.0002942906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255624,"about_ca_topic_score_gemma":0.00005043813,"domain_scores_codex":[0.9941272,0.0001122648,0.002455553,0.0008912822,0.001308925,0.001104849],"domain_scores_gemma":[0.9948685,0.00007084455,0.00139821,0.002409932,0.0008925144,0.0003600368],"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":[0.000901628,0.009339636,0.1011301,0.05354018,0.004654913,0.000371813,0.07241771,0.01965641,0.0003105424,0.3751951,0.09542126,0.2670608],"study_design_scores_gemma":[0.008066329,0.0006212641,0.01451187,0.006508943,0.0001262946,0.0002417709,0.001173767,0.5289197,0.0003434683,0.00483486,0.4306926,0.003959124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02281472,0.000103321,0.9414641,0.0005818175,0.003153305,0.02480604,0.003045922,0.0006517118,0.003379095],"genre_scores_gemma":[0.8846096,0.00005507033,0.06398312,0.002006361,0.000937736,0.02911417,0.01853515,0.0001524179,0.000606306],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8774809,"threshold_uncertainty_score":0.9994084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080968731075352,"score_gpt":0.2888451887949461,"score_spread":0.2680355014841926,"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."}}