{"id":"W2148634107","doi":"10.1109/etfa.2005.1612692","title":"Integrated Approach for Developing Autonomous and Interactive Software Agents","year":2006,"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":"University of Calgary","funders":"","keywords":"Computer science; Adaptation (eye); Component (thermodynamics); Process (computing); Autonomous agent; Human–computer interaction; Multi-agent system; Agent-oriented software engineering; Product (mathematics); Software; Artificial intelligence; Software engineering; Software development","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":[0.001898527,0.0006867874,0.0004491491,0.0008236188,0.0006642912,0.002260425,0.002153328,0.001024115,0.004134398],"category_scores_gemma":[0.00201311,0.0007848102,0.0009680216,0.0006284027,0.001056941,0.00206011,0.003173677,0.001926357,0.001669384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009008191,"about_ca_system_score_gemma":0.002018924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216175,"about_ca_topic_score_gemma":0.00175589,"domain_scores_codex":[0.9982172,0.0005214589,0.0001673891,0.0002719948,0.0007346064,0.00008735963],"domain_scores_gemma":[0.9991339,0.0002344855,0.0000730184,0.0002802709,0.0001869603,0.00009141308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009480313,0.0003569684,0.001883605,0.0008217453,0.0002846037,0.000411799,0.002176122,0.04560002,0.02856554,0.5898898,0.003244016,0.326671],"study_design_scores_gemma":[0.0001379454,0.0004398985,0.0009280073,0.0004301603,0.0003840421,0.0009614847,0.0006573134,0.4024054,0.03289342,0.2370303,0.323615,0.0001171171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001605154,0.0001525892,0.9922482,0.00009275143,0.00001792533,0.0001102241,0.00001594314,0.0005450143,0.005212188],"genre_scores_gemma":[0.03102341,0.0002208137,0.9651369,0.00004877827,0.000007439184,0.0002342373,0.0000845297,0.00007805389,0.003165734],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004134398,"threshold_uncertainty_score":0.0138309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216210126025541,"score_gpt":0.2605687079892008,"score_spread":0.2284066067289454,"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."}}