{"id":"W2124258125","doi":"10.1007/978-3-540-68825-9_18","title":"A Reputation Model Framework for Artificial Societies: A Case Study in Child Vehicle Safety Simulation","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Reputation; Computer science; Intervention (counseling); Convergence (economics); Perspective (graphical); Outcome (game theory); Computer security; Knowledge management; Artificial intelligence; Psychology; Sociology","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"],"consensus_categories":[],"category_scores_codex":[0.0003325464,0.0002355468,0.0003000448,0.0001673087,0.0004110713,0.0001233963,0.0002490922,0.0001650158,0.000006581909],"category_scores_gemma":[0.00002652205,0.0002464929,0.0001089223,0.0002157528,0.0001997116,0.0001754264,0.0001107028,0.000505107,0.000001682871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544745,"about_ca_system_score_gemma":0.0002408353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001229638,"about_ca_topic_score_gemma":0.00007229271,"domain_scores_codex":[0.998364,0.00001756284,0.0004341691,0.0006129704,0.0002959929,0.0002753222],"domain_scores_gemma":[0.9989328,0.0003871974,0.0002023259,0.0002822945,0.0001456833,0.00004966239],"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":[0.00001166342,0.00006679938,0.0002950508,0.000006404584,0.000006437073,0.00001993097,0.006407235,0.9135861,6.877653e-7,0.008275133,8.198854e-7,0.07132371],"study_design_scores_gemma":[0.0001605194,0.00006072033,0.00004714418,0.00007917725,0.000004308917,0.000003190282,0.00001481431,0.7471137,0.000002483145,0.2523094,0.00001292552,0.0001916569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02234245,0.00001927177,0.9760874,0.0001477182,0.0002833445,0.0008373648,0.00003281891,0.00001920021,0.0002304437],"genre_scores_gemma":[0.9661981,0.000002500912,0.03314966,0.0001542867,0.0004112369,0.00002188513,0.00001330485,0.0000209975,0.00002802953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9438556,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02961855152779408,"score_gpt":0.31626639585737,"score_spread":0.2866478443295759,"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."}}