{"id":"W2100731249","doi":"10.1109/pacrim.2009.5291327","title":"Network Flow Heuristic algorithm for a distributed web service selection problem","year":2009,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Computer science; Knapsack problem; Heuristic; Server; Distributed computing; Web service; Time complexity; Maximization; Mathematical optimization; Service (business); Computational complexity theory; Set (abstract data type); Resource allocation; Algorithm; Computer network; Mathematics; Artificial intelligence; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002155636,0.0002462508,0.0002290078,0.00007862794,0.0003141033,0.0002239659,0.0008442898,0.0001013141,0.00001673834],"category_scores_gemma":[0.000003591676,0.0002094525,0.00008157786,0.001598625,0.000007055425,0.0003629079,0.0001054936,0.0001540257,0.00003902369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003923492,"about_ca_system_score_gemma":0.0000969603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006945949,"about_ca_topic_score_gemma":0.000375042,"domain_scores_codex":[0.9982166,0.00005261012,0.0002999891,0.0005681241,0.0002522317,0.0006104446],"domain_scores_gemma":[0.9989169,0.0001175401,0.0001022469,0.0004020299,0.0003066815,0.0001545519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006792901,0.0004448502,0.0001805858,0.0001511742,0.0001059886,0.00001281347,0.001186994,0.04320605,0.0008556489,0.04635042,0.02108672,0.8863508],"study_design_scores_gemma":[0.0006068279,0.0002870197,0.0004803607,0.00003293116,0.00001974508,0.00002966812,0.00001581821,0.9334704,0.0002756038,0.03160149,0.03289858,0.000281617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000472115,0.00008690881,0.9897841,0.006747769,0.0003106424,0.0005652667,0.00002320846,0.000752027,0.001258007],"genre_scores_gemma":[0.04458161,0.000006801945,0.93699,0.01727655,0.0007443433,0.00008125249,0.0001557783,0.00001777574,0.0001458693],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8902643,"threshold_uncertainty_score":0.8541226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007395440556793508,"score_gpt":0.2192612969573143,"score_spread":0.2118658564005208,"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."}}