{"id":"W2006433564","doi":"10.1142/s0218843008001841","title":"SERVICE LICENSING COMPOSITION AND COMPATIBILITY ANALYSIS","year":2008,"lang":"en","type":"article","venue":"International Journal of Cooperative Information Systems","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; License; Interoperability; Compatibility (geochemistry); Web service; Merge (version control); Composability; Service composition; Services computing; Service design; Differentiated service; Service (business); Service-oriented architecture; World Wide Web; Computer security; Service provider; Software engineering; Distributed computing; Business","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":[0.000375304,0.0001189078,0.0002641522,0.0005806314,0.0001474529,0.0003502865,0.0005785346,0.00004272438,0.000005543945],"category_scores_gemma":[0.00001292119,0.00009517225,0.00007676342,0.0007263948,0.00002964855,0.003501625,0.0001114726,0.0001463792,0.00001586378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006709052,"about_ca_system_score_gemma":0.0000928105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002123094,"about_ca_topic_score_gemma":0.0000387473,"domain_scores_codex":[0.9982259,0.0001338678,0.0007733495,0.00009658572,0.0006703478,0.00009999608],"domain_scores_gemma":[0.9955788,0.0001041197,0.0006666894,0.0001568599,0.003403332,0.00009026284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007002301,0.000551636,0.08375441,0.0002625096,0.008761608,0.0002069656,0.259301,0.5335179,0.007151135,0.08105904,0.00120636,0.0235272],"study_design_scores_gemma":[0.003109516,0.0003082617,0.1181981,0.0003106784,0.0002039879,0.003745906,0.004632175,0.8421405,0.003896029,0.0001255927,0.02270687,0.0006223483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5589172,0.0001075056,0.438327,0.001038901,0.0007112589,0.00009352726,0.000009795005,0.00002524378,0.0007695865],"genre_scores_gemma":[0.995392,0.00003298942,0.00289338,0.001525454,0.0001262446,0.000001656649,0.00002250372,0.000002188735,0.000003575218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4364748,"threshold_uncertainty_score":0.3881012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138889687078737,"score_gpt":0.252629566833893,"score_spread":0.2387405981260193,"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."}}