{"id":"W1978684289","doi":"10.1109/ainaw.2007.363","title":"Using Argumentative Agents to Manage Communities of Web Services","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Web service; WS-Policy; World Wide Web; Computer science; WS-I Basic Profile; Web standards; Web modeling; Web development; Mashup; WS-Addressing; Service-oriented architecture; Web 2.0; Services computing; 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":[0.009734951,0.001062418,0.001032558,0.00323226,0.006467741,0.007192446,0.003877615,0.003879516,0.00477887],"category_scores_gemma":[0.02348009,0.001019589,0.001890274,0.001537287,0.005693107,0.01630929,0.01303862,0.004491275,0.001182022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002488046,"about_ca_system_score_gemma":0.002434758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002403515,"about_ca_topic_score_gemma":0.002417722,"domain_scores_codex":[0.9898403,0.005724806,0.0007980543,0.0009063468,0.002143889,0.0005866865],"domain_scores_gemma":[0.9852715,0.007963311,0.001445868,0.002464652,0.001445842,0.00140892],"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":[0.0000651696,0.00009502943,0.000597707,0.0001304009,0.0000458896,0.0006959909,0.004055923,0.01904282,0.001915077,0.9483309,0.001658579,0.02336655],"study_design_scores_gemma":[0.00008990175,0.00004388223,0.0001331701,0.0001143799,0.00004261511,0.0003059221,0.0009127888,0.1304058,0.003121486,0.7969953,0.06777245,0.0000622755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01288258,0.0003955271,0.9705759,0.001313084,0.0001390683,0.0002669161,0.00003411948,0.0005577374,0.01383504],"genre_scores_gemma":[0.2935165,0.0004346567,0.6944121,0.0003666835,0.0001886493,0.0008218009,0.0001968579,0.0002673644,0.009795334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009734951,"threshold_uncertainty_score":0.05148393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282079575887931,"score_gpt":0.3683996334663953,"score_spread":0.2401916758776022,"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."}}