{"id":"W2137235762","doi":"10.1109/ccece.2008.4564631","title":"Multi agent system to promote Electronic Data Interchange in port systems","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Port (circuit theory); Architecture; Automation; Process (computing); Computer science; Electronic data interchange; Work (physics); Engineering management; World Wide Web; Process management; Business; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370148,0.0003866861,0.0003226982,0.0008290672,0.000885329,0.002334279,0.0007851151,0.001016391,0.004187709],"category_scores_gemma":[0.002657573,0.0002151426,0.0003428029,0.000692191,0.0005449002,0.002217535,0.001877874,0.0008619275,0.001090201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00052247,"about_ca_system_score_gemma":0.0007734955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179943,"about_ca_topic_score_gemma":0.001069048,"domain_scores_codex":[0.9990094,0.0004615409,0.00009221147,0.00009953868,0.0002724091,0.00006501507],"domain_scores_gemma":[0.9990772,0.0002999557,0.00009612098,0.0001711182,0.0002415311,0.0001140128],"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":[0.0007364839,0.0006165622,0.004116244,0.0005990505,0.0001971426,0.003175492,0.003033807,0.1028005,0.06201045,0.4158003,0.01826975,0.3886442],"study_design_scores_gemma":[0.0002400162,0.0004147211,0.001341383,0.0001595243,0.0001583046,0.0008677223,0.0004851064,0.6739898,0.02479201,0.05506515,0.2424107,0.00007556695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0561824,0.0009208639,0.8809681,0.001178456,0.0004121049,0.0005225785,0.00009553618,0.004042411,0.05567755],"genre_scores_gemma":[0.6698691,0.0006008513,0.2981467,0.0002730456,0.0001658331,0.0004981123,0.0002221575,0.0002404536,0.02998372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004187709,"threshold_uncertainty_score":0.01400924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0432662667349713,"score_gpt":0.2190783584943435,"score_spread":0.1758120917593722,"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."}}