{"id":"W181767045","doi":"10.5555/2484920.2485213","title":"On the analysis of joining communities of agent-basedweb services","year":2013,"lang":"en","type":"article","venue":"Adaptive Agents and Multi-Agents Systems","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Web service; World Wide Web; Computer science; WS-Policy; Key (lock); Incentive; Mechanism (biology); Services computing; Business; Web development; Knowledge management; Computer security; Web application 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":[0.00567179,0.0009157835,0.001485057,0.004174564,0.003446432,0.004052349,0.002700181,0.003022813,0.008258477],"category_scores_gemma":[0.03680284,0.000774991,0.001734712,0.003434172,0.005498531,0.008209678,0.004627989,0.002497702,0.0007635095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003826811,"about_ca_system_score_gemma":0.001956664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006464797,"about_ca_topic_score_gemma":0.00368923,"domain_scores_codex":[0.9950632,0.002229233,0.0001712497,0.0006279841,0.001242115,0.0006661341],"domain_scores_gemma":[0.9638101,0.02551196,0.003681017,0.001502756,0.002643742,0.002850376],"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":[0.0001387167,0.0001726306,0.0031237,0.000211223,0.00008878631,0.0003621048,0.00096664,0.1281801,0.00173937,0.8426925,0.002489031,0.01983513],"study_design_scores_gemma":[0.00003234203,0.00006452243,0.001352237,0.0000676128,0.00003755242,0.0001913579,0.0003289481,0.5542009,0.0004413001,0.4379061,0.005332816,0.00004436808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1615268,0.003276132,0.7903671,0.003792967,0.0001476335,0.0004760333,0.0002375556,0.0002159642,0.03995974],"genre_scores_gemma":[0.8741419,0.002289014,0.1094392,0.0003865094,0.0004185146,0.0004511132,0.0002642707,0.0001892148,0.01242025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008258477,"threshold_uncertainty_score":0.02999562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04024602118495016,"score_gpt":0.2550220696143017,"score_spread":0.2147760484293515,"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."}}