{"id":"W572414231","doi":"","title":"IEEE/WIC International Conference on Intelligent Agent Technology : (IAT 2003) : Halifax, Canada, October 13-17, 2003 : proceedings","year":2003,"lang":"en","type":"book","venue":"IEEE Computer Society eBooks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0005616565,0.001407541,0.001080625,0.0003956162,0.0003907925,0.0006702981,0.005120929,0.0008890996,0.0001729533],"category_scores_gemma":[0.00001402633,0.001488186,0.0004511212,0.000678283,0.0003344911,0.0001926152,0.001127869,0.001792873,0.0001950073],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00441489,"about_ca_system_score_gemma":0.005486222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196197,"about_ca_topic_score_gemma":0.006600997,"domain_scores_codex":[0.9927343,0.00007893603,0.00127426,0.002505025,0.00195753,0.001450013],"domain_scores_gemma":[0.9948528,0.00005586773,0.0009698216,0.001713792,0.001939469,0.0004681867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007195217,0.00008350597,0.00001131948,0.0001067683,0.000597736,0.0001355284,0.0003749038,0.0007852559,0.000009321014,0.0486565,0.9203055,0.02892645],"study_design_scores_gemma":[0.000586633,0.0002217175,0.000005664498,0.0005857241,0.00008576417,0.00004643803,0.00003171066,0.1220458,0.0005458535,0.002265758,0.8721664,0.001412545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00009767614,0.0003419316,0.5579429,0.001838262,0.02685266,0.003375443,0.0001050441,0.00100259,0.4084435],"genre_scores_gemma":[0.0007297923,0.0003356705,0.04062834,0.01870208,0.002030611,0.0005834673,0.0001083006,0.000215972,0.9366658],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5282223,"threshold_uncertainty_score":0.9998675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257281685093543,"score_gpt":0.2261168652094591,"score_spread":0.2035440483585237,"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."}}