{"id":"W2801461733","doi":"10.5539/cis.v11n2p88","title":"A Synergy of Semantic and Context Awareness for Service Composition in Ubiquitous Environment","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Context (archaeology); Architecture; Service composition; Semantic Web; Service (business); Composition (language); World Wide Web; Service-oriented architecture; Ubiquitous computing; Perspective (graphical); Ambient intelligence; Context awareness; The Internet; Web service; Human–computer interaction; Artificial intelligence","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":[0.0009933785,0.0003813659,0.0004692334,0.0007468018,0.000919121,0.001644395,0.0005209662,0.0006696354,0.000968846],"category_scores_gemma":[0.001521033,0.000351719,0.0007704929,0.0006299456,0.0009841918,0.002302323,0.00195279,0.00102404,0.0004117863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405114,"about_ca_system_score_gemma":0.001293734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017863,"about_ca_topic_score_gemma":0.002569709,"domain_scores_codex":[0.9991139,0.0003079601,0.00008020405,0.0001407468,0.000274621,0.0000825898],"domain_scores_gemma":[0.9994972,0.0001680673,0.00004132672,0.000124819,0.0001056007,0.00006297661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005204693,0.0004478015,0.003040232,0.0005736171,0.00022286,0.001447079,0.002806985,0.07661875,0.1008866,0.3580579,0.004009155,0.4513685],"study_design_scores_gemma":[0.00006579577,0.0003293969,0.001332541,0.0001702417,0.0003022815,0.001320465,0.000807041,0.6496732,0.03620273,0.2516133,0.05807007,0.0001128835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02466191,0.000544519,0.9646734,0.0004614566,0.00008479261,0.00009893229,0.00002330408,0.001082951,0.008368703],"genre_scores_gemma":[0.5593601,0.0005627995,0.4370535,0.0002525261,0.00007452051,0.00009060694,0.00009258081,0.0001135486,0.00239976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002017863,"threshold_uncertainty_score":0.005253613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00855877365720191,"score_gpt":0.2288940970404632,"score_spread":0.2203353233832613,"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."}}