{"id":"W1488668295","doi":"10.1007/3-540-35828-5_3","title":"Requirements Engineering for Large-Scale Multi-agent Systems","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Executable; Exploit; Software development; Software engineering; Domain (mathematical analysis); Requirements analysis; Requirements engineering; Knowledge management; Software; Systems engineering; Management science; Engineering; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003649004,0.001091674,0.0008962913,0.000849903,0.001155782,0.002639795,0.001892608,0.001520096,0.004160807],"category_scores_gemma":[0.0114015,0.001191033,0.001300189,0.0008058452,0.00165244,0.002722809,0.002580408,0.002200638,0.001195531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328815,"about_ca_system_score_gemma":0.001796808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002957301,"about_ca_topic_score_gemma":0.003775559,"domain_scores_codex":[0.9955646,0.002126713,0.000332686,0.0002932751,0.001453879,0.0002289384],"domain_scores_gemma":[0.9929597,0.005209816,0.0003449176,0.0006392393,0.000706192,0.0001400566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001451736,0.0002870477,0.0009314947,0.001874996,0.0001602958,0.001594295,0.002414952,0.3468182,0.02200402,0.3423274,0.009923862,0.2715183],"study_design_scores_gemma":[0.0001070967,0.0001261513,0.0005184574,0.0003586927,0.00007915697,0.0007997552,0.0007391612,0.5778769,0.01055167,0.3430116,0.06576225,0.0000690443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01026421,0.0008331598,0.9750734,0.001071801,0.00004683398,0.0004261669,0.0001226272,0.0006095289,0.01155224],"genre_scores_gemma":[0.2151957,0.001486264,0.772969,0.0003289552,0.00008139487,0.0008926848,0.0006802758,0.0003830263,0.007982695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004160807,"threshold_uncertainty_score":0.01929802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05563417189925629,"score_gpt":0.2967634183452142,"score_spread":0.241129246445958,"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."}}