{"id":"W3035383473","doi":"10.24963/ijcai.2020/9","title":"Formalizing Group and Propagated Trust in Multi-Agent Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Model checking; Satisfiability; Temporal logic; Branching (polymer chemistry); Theoretical computer science; Formal verification; Group (periodic table); Linear temporal logic; Programming language; Distributed computing","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":[0.0002275972,0.00005555965,0.0001100313,0.00002312394,0.0001519662,0.0001122216,0.0000952277,0.00004472162,0.00004761943],"category_scores_gemma":[0.00006421397,0.00004371496,0.00001489526,0.0001742874,0.00005406664,0.0002702795,0.00003474982,0.00006252481,0.00001622384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002272362,"about_ca_system_score_gemma":0.00002178705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006952773,"about_ca_topic_score_gemma":0.002579464,"domain_scores_codex":[0.9993421,0.00006888494,0.0001369709,0.0001319419,0.0001303709,0.0001897504],"domain_scores_gemma":[0.9997793,0.00002184022,0.00003196803,0.00003405116,0.00001600768,0.0001168414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001060705,0.0001823874,0.6488438,0.0002172608,0.00005312232,0.0001056854,0.0618616,0.0001446433,0.001112766,0.2607996,0.0006982612,0.02587485],"study_design_scores_gemma":[0.01122905,0.0003467678,0.2166556,0.0001849694,0.00006920796,0.000005185573,0.1587818,0.3685096,0.000199662,0.0003371173,0.2422226,0.001458524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825434,0.001637396,0.009727835,0.006581569,0.0004176662,0.001563121,0.000005385,0.0003816055,0.09714202],"genre_scores_gemma":[0.9990764,0.00004692583,0.0001567359,0.0003066459,0.00007450941,0.00001814688,0.000001046713,0.000004163569,0.0003154104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4321882,"threshold_uncertainty_score":0.99966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06629291333600006,"score_gpt":0.30314944051513,"score_spread":0.2368565271791299,"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."}}