{"id":"W4239100792","doi":"10.1145/1082983.1082968","title":"xTAO","year":2005,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Modeling language; Software engineering; Extensibility; XML; Context (archaeology); Set (abstract data type); Human–computer interaction; Programming language; Systems engineering; Software; World Wide Web; Engineering","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":[0.001260862,0.0007589785,0.0004396664,0.001325163,0.001474674,0.004239067,0.002045465,0.001377483,0.2523481],"category_scores_gemma":[0.003759708,0.0005507129,0.0007503837,0.001374352,0.0008833256,0.005730432,0.003146833,0.001536553,0.09728995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044989,"about_ca_system_score_gemma":0.001281637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208142,"about_ca_topic_score_gemma":0.00208368,"domain_scores_codex":[0.9992667,0.0001524875,0.00005493751,0.0001744516,0.0002658007,0.0000857327],"domain_scores_gemma":[0.9987232,0.0003388927,0.00009603517,0.0003366055,0.0003208526,0.0001843744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002999476,0.00008795071,0.001257245,0.0006330144,0.00002065852,0.0005853444,0.001378537,0.001328115,0.006827495,0.3266306,0.3515415,0.3094096],"study_design_scores_gemma":[0.00002221101,0.00003538892,0.0002654303,0.00008280716,0.000007447366,0.0003336037,0.00007510377,0.0024727,0.001269758,0.0172517,0.9781676,0.00001625254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006371681,0.001345791,0.2393145,0.002709004,0.002758676,0.0005025382,0.006714889,0.05431349,0.6859696],"genre_scores_gemma":[0.05342896,0.001461027,0.1376733,0.001499219,0.0007028797,0.0007071994,0.01126173,0.01471616,0.7785496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2523481,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597472109984308,"score_gpt":0.2266819340784866,"score_spread":0.2107072129786435,"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."}}