{"id":"W2171008122","doi":"10.1109/wi.2003.1241163","title":"Value centric trust in multiagent systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Reputation; Computer science; Scalability; Helpfulness; Honesty; Multi-agent system; Context (archaeology); Population; Value (mathematics); Independence (probability theory); Obedience; Computer security; Artificial intelligence; Machine learning; Social psychology; Psychology; Mathematics","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":[0.0001416722,0.00005998947,0.00007990525,0.0001273481,0.00004790543,0.0000327634,0.0005513655,0.00007635418,0.00000376356],"category_scores_gemma":[0.000008293609,0.00005239684,0.00001902855,0.00056808,0.00002258293,0.00006768856,0.0001206718,0.0001019365,0.00008222461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007153329,"about_ca_system_score_gemma":0.00003018079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000430698,"about_ca_topic_score_gemma":0.00002492396,"domain_scores_codex":[0.9993607,0.00001378709,0.0001423065,0.0002258303,0.00008503489,0.000172327],"domain_scores_gemma":[0.9994628,0.00001373953,0.00002597555,0.0004456602,0.00001727798,0.00003455941],"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":[2.047716e-7,0.00008720507,0.000643573,0.000002956796,0.000001558488,0.000006692882,0.0001077107,0.00295163,0.0000356861,0.9933441,0.00004725043,0.002771442],"study_design_scores_gemma":[0.002334577,0.00008333721,0.0185841,0.00003603859,0.000004308843,0.00008797758,0.0002358221,0.8409942,0.00583507,0.1134672,0.01781625,0.000521136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1459265,0.0003374864,0.8477471,0.002303124,0.0001535835,0.0002830503,5.134787e-7,0.0003657881,0.00288285],"genre_scores_gemma":[0.9797966,0.00001870342,0.01992782,0.0001206112,0.000009789565,0.00004443252,3.905176e-7,0.000002304606,0.00007934568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8798769,"threshold_uncertainty_score":0.2136681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009263014118231362,"score_gpt":0.2236723305707613,"score_spread":0.2144093164525299,"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."}}