{"id":"W131730995","doi":"10.1007/978-3-540-30637-5_9","title":"Multiagent Communication for e-Business using Tuple Spaces","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Tuple; Computer science; Mathematics; Discrete mathematics","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":[0.0006993045,0.0008069155,0.0006803845,0.0004543895,0.0008607346,0.003841604,0.0009734023,0.001509002,0.009480294],"category_scores_gemma":[0.001072366,0.0004310653,0.0005637952,0.001243498,0.0008304299,0.004659079,0.00154726,0.002091745,0.003476978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005286476,"about_ca_system_score_gemma":0.0004130711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005647848,"about_ca_topic_score_gemma":0.0007183586,"domain_scores_codex":[0.9994189,0.0002020039,0.00004331056,0.00007529661,0.000226669,0.00003375797],"domain_scores_gemma":[0.9995816,0.0002430931,0.00001784476,0.00008260003,0.00004862014,0.00002617535],"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":[0.00005631032,0.00006271276,0.00009718174,0.0004021929,0.00003912883,0.0002378183,0.001068491,0.01345126,0.005685372,0.6316475,0.03232143,0.3149306],"study_design_scores_gemma":[0.0000186265,0.00007768567,0.0001481449,0.0002700756,0.00003641151,0.0006755595,0.0004079685,0.09538969,0.005693142,0.4319417,0.4652993,0.00004163325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002799646,0.01415479,0.9029739,0.00106522,0.001114503,0.00009345043,0.0001003212,0.001025839,0.07667226],"genre_scores_gemma":[0.1323071,0.01817494,0.678862,0.0005884568,0.0007339866,0.000414469,0.0005713993,0.0005518043,0.1677958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009480294,"threshold_uncertainty_score":0.03171474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04069631659801906,"score_gpt":0.2520718948458016,"score_spread":0.2113755782477825,"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."}}