{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003654746,0.0002651502,0.0005276385,0.0003988014,0.0002410493,0.0001304212,0.00115906,0.00007198331,0.00005896265],"category_scores_gemma":[0.000004500845,0.0001698761,0.0001713028,0.0008812906,0.00009232293,0.0003067164,0.0004189958,0.0001462284,0.00002017534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001645084,"about_ca_system_score_gemma":0.00001931475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01745507,"about_ca_topic_score_gemma":0.0009001655,"domain_scores_codex":[0.9979682,0.0003878101,0.0005577311,0.0003112845,0.0004756752,0.0002992781],"domain_scores_gemma":[0.9977477,0.0004428644,0.0005281595,0.000892297,0.0002816759,0.0001073302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002375011,0.003760086,0.2901104,0.003171135,0.02945997,0.00004847553,0.3641022,0.09198947,0.008155543,0.1777041,0.00169099,0.02957015],"study_design_scores_gemma":[0.0007004253,0.0002226199,0.1469058,0.0003961495,0.0003632581,0.000002238066,0.02027935,0.8294984,0.0005009446,0.0001085916,0.0007235925,0.0002986583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877325,0.0004300242,0.009881866,0.0001440985,0.0002956683,0.0005909587,0.00005169786,0.00004354278,0.0008295991],"genre_scores_gemma":[0.9979225,0.00006240211,0.0008309208,0.0009731452,0.00001799817,0.00005696117,0.0000208684,0.00001334561,0.0001017898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7375089,"threshold_uncertainty_score":0.9890878,"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."}}