{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005466316,0.00080326,0.001014317,0.005630185,0.004039127,0.004353395,0.001800359,0.001856057,0.00797963],"category_scores_gemma":[0.01984798,0.0007404015,0.002261812,0.0039906,0.003244452,0.00617385,0.003299642,0.001994807,0.001596053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002719007,"about_ca_system_score_gemma":0.004313197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007150094,"about_ca_topic_score_gemma":0.00293997,"domain_scores_codex":[0.9910998,0.001762453,0.0005246821,0.0009644615,0.004878128,0.000770528],"domain_scores_gemma":[0.9914263,0.003916633,0.0006570878,0.001040799,0.002653915,0.0003051804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003035162,0.000289642,0.007527844,0.0001774308,0.00008319902,0.0009399943,0.001206664,0.06841772,0.01291029,0.7517769,0.002461703,0.1539052],"study_design_scores_gemma":[0.00004953203,0.0001241232,0.002927937,0.00008100566,0.00009724138,0.001009671,0.0008358579,0.5533598,0.03251183,0.3709555,0.03793887,0.0001085701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04285268,0.0001063507,0.9389371,0.000319534,0.0000506791,0.0004584896,0.00009725364,0.0006865647,0.01649131],"genre_scores_gemma":[0.3317495,0.0002311646,0.6559771,0.000124145,0.00007961263,0.0003508717,0.0005318283,0.0005172528,0.01043847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00797963,"threshold_uncertainty_score":0.02890897,"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."}}