{"id":"W4289687320","doi":"10.1016/j.jss.2022.111383","title":"Transformation-based model checking temporal trust in multi-agent systems","year":2022,"lang":"en","type":"article","venue":"Journal of Systems and Software","topic":"Access Control and Trust","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Canadian Armed Forces","keywords":"Model checking; Computation tree logic; Computer science; Theoretical computer science; Transformation (genetics); Temporal logic; Scalability; Automaton; Formal verification; Path (computing); Algorithm; Programming language; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006379425,0.0009727561,0.001722849,0.001458471,0.0009904334,0.002282187,0.002373508,0.001248907,0.002209402],"category_scores_gemma":[0.03432578,0.0008231245,0.002756952,0.001042261,0.0029876,0.003786353,0.003562537,0.002952917,0.0003523041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002423799,"about_ca_system_score_gemma":0.003867585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01733544,"about_ca_topic_score_gemma":0.01222778,"domain_scores_codex":[0.9910054,0.003853894,0.0005406403,0.001236835,0.002266828,0.001096477],"domain_scores_gemma":[0.9589136,0.02997431,0.002555809,0.004172944,0.003663186,0.0007201322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007106026,0.0001952633,0.003639994,0.0001485256,0.0001846542,0.0003223484,0.0003872642,0.9178469,0.003843164,0.04322366,0.0007346678,0.02876288],"study_design_scores_gemma":[0.00002593385,0.0000306786,0.00009316357,0.000005098882,0.00002123813,0.00001952332,0.00002284454,0.9815844,0.001320562,0.01672857,0.0001412407,0.000006726443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07610725,0.00006919401,0.9200754,0.000250475,0.00004463336,0.0001743523,0.0001608884,0.00192936,0.001188434],"genre_scores_gemma":[0.9373482,0.00004046139,0.06146766,0.0000543725,0.00001699692,0.00009816009,0.00020306,0.0001371142,0.0006340236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01733544,"threshold_uncertainty_score":0.03446907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04673837030529043,"score_gpt":0.2978859471449556,"score_spread":0.2511475768396652,"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."}}