{"id":"W4237407317","doi":"10.1504/ijwgs.2018.092589","title":"A compressed graph representation for services composition","year":2018,"lang":"en","type":"article","venue":"International Journal of Web and Grid Services","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Scalability; Web service; Theoretical computer science; Graph; Distributed computing; Service composition; Flexibility (engineering); Representation (politics); Database; Data mining; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002444586,0.0001561962,0.0002105227,0.0003436742,0.0001517393,0.0003902804,0.001355082,0.00006019313,0.00001176799],"category_scores_gemma":[0.000001909071,0.0001288569,0.0001148829,0.0002242485,0.00004618652,0.001183823,0.0002045221,0.0001060364,0.000006166782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001589943,"about_ca_system_score_gemma":0.00003705221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001207,"about_ca_topic_score_gemma":0.0002618076,"domain_scores_codex":[0.9985479,0.00005626085,0.0004650673,0.000255301,0.0005012808,0.0001742096],"domain_scores_gemma":[0.9977312,0.0001525973,0.0005310078,0.0001982663,0.001277561,0.0001093591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007491128,0.002755755,0.109238,0.003090902,0.006061353,0.0004051707,0.1146437,0.003184112,0.4293354,0.1324312,0.004449256,0.1869141],"study_design_scores_gemma":[0.01884685,0.004118917,0.1260575,0.003007982,0.0004336976,0.002482068,0.006888643,0.3606989,0.1578198,0.1187632,0.1988557,0.002026659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357362,0.0006247677,0.05181156,0.006241204,0.004505055,0.0002088101,0.00004389646,0.0000688649,0.0007596184],"genre_scores_gemma":[0.9804127,0.00013047,0.01370602,0.00332284,0.002369276,0.000006102931,0.00003293639,0.00001001149,0.000009615986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3575148,"threshold_uncertainty_score":0.5254632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007834763658810568,"score_gpt":0.2748735959120126,"score_spread":0.267038832253202,"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."}}