{"id":"W2009358856","doi":"10.1109/cts.2010.5478451","title":"WhiteCat: Making agent roles perceivable","year":2010,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Dynamism; Computer science; Java; Flexibility (engineering); Multi-agent system; Indirection; Compile time; Distributed computing; Modularity (biology); Interdependence; Class (philosophy); Software engineering; Computer security; Artificial intelligence; Compiler; Programming language","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":[0.0002023967,0.0000738346,0.00007382324,0.00005576135,0.0001037739,0.0001681027,0.0004150541,0.00004705803,0.0002446313],"category_scores_gemma":[0.00001347195,0.00005900296,0.0000384632,0.0001110903,0.000008123873,0.0003173494,0.0001053941,0.00009251099,0.000391942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001056586,"about_ca_system_score_gemma":0.00001697488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000564293,"about_ca_topic_score_gemma":0.0002032147,"domain_scores_codex":[0.9992766,0.00001787875,0.0001371114,0.0002274782,0.0001736623,0.0001672983],"domain_scores_gemma":[0.9994326,0.00001746619,0.00004689369,0.0004201993,0.00003514033,0.00004773277],"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":[0.000004015885,0.0002249319,0.02372852,0.00006152456,0.00003333916,0.00002266694,0.006765122,0.000260921,0.3374112,0.4744259,0.02224055,0.1348214],"study_design_scores_gemma":[0.0008132994,0.00007927338,0.1728847,0.00006552244,0.00001013325,0.00008883938,0.0002385068,0.5366949,0.02456429,0.002334445,0.2613636,0.0008624362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2556661,0.00003199461,0.6899444,0.00124702,0.00170682,0.0001983541,5.578964e-7,0.0003735244,0.05083127],"genre_scores_gemma":[0.9636876,0.000001501848,0.03291494,0.0002628828,0.0001136379,0.00000689493,6.201634e-7,0.000004600158,0.003007353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7080215,"threshold_uncertainty_score":0.5037752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665760716917216,"score_gpt":0.2575596595494379,"score_spread":0.2409020523802658,"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."}}